Input: We showed up and waited 30 minutes in line 30 minutes to get our drinks -after we asked twice, the service was the worst I've had in nyc.

Output: [['food', 'neutral'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I tried almost everything on the menu, but my fav is the pumkin raviloi, too bad it's only seasonal.

Output: [['menu', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: It was more than enough food even though the portions are tiny.

Output: [['food', 'positive'], ['miscellaneous', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The place was small and simple, but I never cared about service or decor.

Output: [['place', 'negative'], ['ambience', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The bill came out to like $100pp, and noone touched their food, and drinks were left untouched because after the first bite/sip you want to never touch it again.

Output: [['price', 'neutral'], ['food', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: It is a small restaurant so without reservations, there can be a long wait.

Output: [['miscellaneous', 'neutral'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Additionally the bar upstairs is picturesque and spacious, even though the techno music is horrible.

Output: [['place', 'neutral'], ['ambience', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The ensuing dinner was definitely worth the wait; I'll be dreaming about chef Jodi Williams' extraordinary fried squash blossoms for a long time.

Output: [['food', 'positive'], ['staff', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Beers on tap were pretty good and we had a great waiter but the food left much to be desired.

Output: [['miscellaneous', 'neutral'], ['staff', 'positive'], ['food', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: But the service, though invariably genial and helpful, can be weirdly haphazard -- waiters disappear mysteriously, only to reemerge just when you've decided their shift must have ended -- possibly an understaffing issue?

Output: [['service', 'positive'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: on the food-front while adding just enough of a civilized atmosphere where you won't worry about either your neighbor or the wait staff biting off one of your fingers.

Output: [['ambience', 'positive'], ['staff', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I think that argentine cuisine can be match more interesting better that the insipid expirience that I had in this overpriced place.

Output: [['food', 'neutral'], ['place', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: DINERS serve better french toast than Balthazar.

Output: [['price', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Arrive at 7:00pm, the waiters didn't give us our menus till an 1 1/2 hour later.

Output: [['staff', 'negative'], ['menu', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The hummus was not flavorful and when we ran out of bread and asked for more, it never came.

Output: [['miscellaneous', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: That's almost enough to prove its legitimacy to me, but eating there, both for a quick slice and sit-down for pasta with my family has always been a delicious, inexpensive and fun experience.

Output: [['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I love the decor but would not recommend sitting in the communal tables unless its a very big group, much more fun getting a table and people watch while you chomp on your $20 palm sized truffle pizza.

Output: [['ambience', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Then another pleasant surprise - the menu said we had to share the entree for each couple.

Output: [['menu', 'neutral'], ['food', 'neutral'], ['miscellaneous', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I can't imagine how small the fish portion on the $10 lunch menu must be if I got the large one.

Output: [['food', 'negative'], ['menu', 'neutral'], ['miscellaneous', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The Food  Most restaurants with more than 250 items on the regular menu don't do any of them particularly well.

Output: [['food', 'neutral'], ['menu', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The waitstaff was helpful but watch out, after you pay your hefty bill managment will ask you to leave if they think you've lingered too long.

Output: [['staff', 'positive'], ['price', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: It's too loud and the cheesiest music is played throughout the meal.

Output: [['ambience', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Yellowtail tuna carpaccio, lightly dressed with a hint of mint, sings of summer, and crab salad partnered with sweet-hot mango mustard and greens hits all the right flavor notes.

Output: [['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The menu alternates between typical American fare (salads, potato skins, Angus burgers and grilled chicken) and modestly international cuisine like fajitas, wraps and pot stickers.

Output: [['menu', 'neutral'], ['price', 'positive'], ['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The pro's: Good ambience,service The Con's: For the 4 to 5 star price (200 dollars for 2 people which included 2 drinks each, an appetizer, main course, and a hsared dessert), the food and presentation was just average.

Output: [['ambience', 'positive'], ['service', 'positive'], ['price', 'neutral'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The menu had some slight twists to conventional upscale Mexican.

Output: [['menu', 'neutral'], ['miscellaneous', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: my one complaint is that when we were finished with our dinner, it took an abnormally long time for our waitress to get with the program and bring us our check.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The service was average and the tables are really close together (but who cares when the food is this good).

Output: [['place', 'negative'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: In Short This restaurant, an offshoot of the celebrity-besieged East Hampton eatery of the same name, is enlivened by a copper-topped bar, an on-display wood-burning oven and a royal blue oceanic mural running along its walls.

Output: [['place', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: My friend was a vegetarian and the staff went out of their way to provide her with a special entree.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: They ended up cramming 10 of us on 3 small tables, then taking forever with our food.

Output: [['place', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: For dessert we split the combination platter, which had rather small portions but they were good.

Output: [['food', 'neutral'], ['miscellaneous', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: If you go in, make sure to listen to the unbelievably loud microphone that the folks at the counter use to dictate orders to the cooks who stand about two feet behind them.

Output: [['place', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Service was not snooty and you'll be treated the same whether you order one of the $150+ kaiseki dinners or a single entree.

Output: [['service', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Unfortunately, that lunch can take a loooooong time as the waiters seem to forget food orders, forget drink orders, and forget to refill water glasses.

Output: [['food', 'neutral'], ['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Ordered a beer from the bartender, she opened it and the told me that she didn't know the price !!

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The Food Recalling an era of calorie-defying decadence--hard liquor, red meat, cigars and mammoth portions--gluttony is the operative word here.

Output: [['food', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Personally, I like my food fresh, so you just have to tell the waiter that you would like to order by ear.

Output: [['food', 'positive'], ['staff', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The tasting menu experience lasted close to three hours and included six or seven food courses and three desert courses.

Output: [['menu', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: My partner had ordered an appetizer that was no longer available; the waitress did not inform us when reviewing the specials.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: i went here on a whim and found out you could get sushi for half price kind of like happy hour.

Output: [['food', 'neutral'], ['price', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: It's called OYSTER BAR, and yet no oyster selection at all!

Output: [['place', 'neutral'], ['food', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: They kept the chef, margarita machines, and practically the identical menu from Miracle Grill (the restaurant that formerly had the space); how is it that everything here is so much worse?

Output: [['menu', 'positive'], ['food', 'neutral'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The menu was filled with of course the standard sushi fair, but the real gem was the unuusal and creative combinations of sushis and sauces and other ingredients they had as well.

Output: [['menu', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The complete and total rudeness and frustration surrounding this place started with the hostess calling us in the middle of the afternoon asking if we could change our reservation.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Not the most adventurous nor exquisite food, but generous portions (at least, on the 3-course prix fixe) that were faultlessly executed, complemented by a varied wine list ranging from that special bottle for a celebratory splurge to excellent choices under $50.

Output: [['food', 'negative'], ['miscellaneous', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The only redeeming factor of the night was the dessert which was very good but certainly not worth the cost of an overall horible experience.

Output: [['food', 'positive'], ['price', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Our waiter must have been a 'stand-in' because he did not know the menu, choices or basic service protocol (bread plate on the left).

Output: [['staff', 'negative'], ['menu', 'neutral'], ['service', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: If your friends persuade you to check this place out, I suggest that you order all of your drinks, apps, entrees, desserts, and the check up front, because you'll never see your server again.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: So are cooked plates: Marinated Kobe beef practically melts on its skewers, soy-buttered scallops collapse with sweet brine and Chawanmushi custard, quivering in eel-soy broth with black truffles and foie gras, is over the top.

Output: [['miscellaneous', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I've been here twice for brunch, and I found the ambience and food to be much better than the overly-hyped Kitchenette next door.

Output: [['food', 'neutral'], ['ambience', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Not the ideal spot when you're really hungry -- the plates are tiny and the prices not (like every other upscale tapas place).

Output: [['miscellaneous', 'negative'], ['price', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The waiter knew about every item on the menu and explained it very well.

Output: [['staff', 'positive'], ['menu', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The waitress only stopped at our table to take our order and pick up the check.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral'], ['price', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We got there before our reservation and the seated us quickly.

Output: [['miscellaneous', 'neutral'], ['service', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The Scene Tucked away on the second floor of a small, nondescript Madison Avenue building, Caviar Russe feels more like a private club than a restaurant.

Output: [['miscellaneous', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: While the server offered nothing, the host apologized, and said that he hoped that I would return again, perhaps for brunch.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The food was good, the service was fine, and the place has a lot of visual atmosphere, but I would not go back unless I was stuck eating with someone I didn't want to listen to.

Output: [['place', 'neutral'], ['ambience', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I noticed many of the other comments had negative things to say about the service and food - my thoughts and suggestions are: eat at the bar to avoid a rude waiter or bad service here and Artisanal's reputation is based on the cheese, get the CHEESE and not the steak or whatever.

Output: [['food', 'neutral'], ['place', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: However, the service has SIGNIFICANTLY declined since they expanded into the back room.

Output: [['service', 'negative'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Our waitress was very nice, not snotty - she even gave us a free apertif after the meal (and left the bottle on the table).

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Nice decor - but the place is so crowded and noisy you can't enjoy it.

Output: [['ambience', 'positive'], ['place', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The waiter, of course had no knowledge of the yet to be produced wine list and no wine steward or manager bothered to come by the table to check in.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The prices seemed reasonable with entrees ranging from $14-$25.

Output: [['price', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The only complaints (minor) was a 15 minute wait when we had a 10 PM reservation and the tables are pretty close to one another.

Output: [['service', 'negative'], ['miscellaneous', 'neutral'], ['place', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: What I liked the most is that the staff listened attentively to what I asked for and my meal was prepared EXACTLY the way I asked, what a treat.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Although we had to wait a long while and the hostess was very busy behind the bar, she was very apologetic and sincere which made it feel ok to have to wait.

Output: [['staff', 'negative'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The wait staff is very attentive, and you can smoke at the bar while enjoying the view of the river.

Output: [['staff', 'positive'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: the prices are right and i strongly recommend this place for any time of day: early breakfast or late night snack.

Output: [['price', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Also, if you order a dinner, plan to have leftovers for the next day because the portions are HUGE, the salad that comes with a meal is large enough to be a meal itself.

Output: [['food', 'neutral'], ['miscellaneous', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: -the bread served was cold  -the choices for restaurant week was very slim (no meat dish except pork) -there were no chef's treats or delights -the food was ok but not up to the quality expected There are more exciting, romantic restaurants in the city to visit.

Output: [['food', 'negative'], ['staff', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Lovely place with the kind of Chinese food I like -- clean presentation, sizeable menu, and a bit of a French twist.

Output: [['place', 'positive'], ['menu', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Our waiter showed up two minutes later to take our order and showed up with our drinks 25 minutes later and they were not crowed.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Food is decent but portions are so tiny and the whole meal is served on huge plate which makes it look even more ridiculous.

Output: [['food', 'positive'], ['miscellaneous', 'negative'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Went to Public last Saturday, couldn't get a table so the lovely host suggested that my partner and I dine at the bar.

Output: [['miscellaneous', 'neutral'], ['staff', 'positive'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I am an extremely low maintenance diner and the staff at this restaurant managed to insult my dinner party and refuse kitchen service minutes after seating us and informing us that the kitchen was open.

Output: [['place', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The food came out wrong, the waiter was no where to be found and the wine showed up at the end of the meal.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Aside from the service being slow, the place was packed w/ a good crowd and music was amazing.

Output: [['service', 'negative'], ['place', 'positive'], ['miscellaneous', 'positive'], ['ambience', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: When after 2 hours we did ask for our entrees, the waiter and busboy were both extremely rude.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The waitress came three times: to take our order, to bring the order, and to bring the check.

Output: [['staff', 'negative'], ['price', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: It's got above-average diner and italian fare, and it's right near the subway.

Output: [['place', 'positive'], ['price', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The small bar is always packed with people, and you have to constantly contend with waiters asking you to move as they navigate through the crowd to make it to their tables.

Output: [['place', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: After making reservations almost a month in advance, I was very disappointed to be seated in a secluded area for dinner next to the sushi bar and KITCHEN!!!!!!!

Output: [['miscellaneous', 'neutral'], ['service', 'negative'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I mean no disrespect to the owner, just constructive criticism - improve the decor and dine-in service, but DON'T change the portions or the recipes.

Output: [['ambience', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Recommended to those who want to try a different setting for a diner.

Output: [['ambience', 'positive'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Although the waitress had clearly our reservation on her book, she told us somebody arrived one minute ago and being first to arrive, he could have our table.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: He did do the service part well enough -- brought the food, etc.

Output: [['service', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: it is too bad because the food, ambiance, and drinks were great but they need serious help on the service.

Output: [['food', 'positive'], ['ambience', 'positive'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Hey - What better excuse to sit at the bar and try another one of their fantastic drinks.

Output: [['place', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Come in the evening, sip a glass of wine, or two, and enjoy the great live jazz along with your dinner.

Output: [['ambience', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Hunan Delight has one page in their menu full of Vegetarian dishes.

Output: [['menu', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Starting off with an excellent carafe of Cotes du rhone suggested by the waiter, we soon ordered a few appetizers like the steak tartare, the escargot and the goat cheese tart.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Although there were many open tables, the manager insisted my party wait at the bar for over one hour.

Output: [['staff', 'negative'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: it would be better to place the bar closer to the front of the restaurant and away from the tables.

Output: [['place', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We tried the Tasting menu', and the manager offered to select the items to be served after taking inputs from us ( Choice of meat, allergies etc.

Output: [['menu', 'positive'], ['staff', 'positive'], ['service', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: After they were done poking and prodding our food, the waiter took it right from their table and tried to give it to us.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I have worked in the restaurant industry for 5 years, and so am understanding of things out of my server's control, and I have never experienced such poor service!

Output: [['staff', 'neutral'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Don't go for the decor or the location, go for the food!

Output: [['ambience', 'negative'], ['place', 'negative'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The hostess failed to inform us of that the restuarnt was hosting a private company party when we made the reservation.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We waited forever for our orders, our drinks came out AFTER our food, we never got refills on water, we had to ask like three times for extra dressing, and our waiter was rude.

Output: [['food', 'neutral'], ['ambience', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We asked the chef if it was possible to have two different tasting menus, to which he was quick and eager to comply.

Output: [['staff', 'neutral'], ['menu', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The service was very rushed and as we were finishing our drinks and paying our bill, the owner asked us to leave so he could seat other people at our table.

Output: [['service', 'negative'], ['food', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Our waiter was great and we even got drinks and some food courtesy of the cheff- maybe because it wasn't so busy when we went.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The manager very politely told the drunk man that he could leave and then gave everyone on the resturaunt a free glass of port for having to witness it.

Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Oh, you should have seen the look on the waiter's face when we told him we didn't want any coffee after the meal.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: All the dishes that we had at our table were consistently good, although not great (nor poor, either).

Output: [['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Delivery portions are bigger and 2 can easily share 1 entree.

Output: [['miscellaneous', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: No specials and no crab limited the menu choices, and the toast for my (very average) foie gras arrived 5 minutes after the rest of the food, and was cold and burnt.

Output: [['food', 'negative'], ['menu', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: If I went back, I'd have dinner in the bar--better service and even better atmosphere.

Output: [['food', 'neutral'], ['place', 'neutral'], ['service', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We felt the waiter and captain rushed us through our meal.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The worst occasion, and the final straw for me was when myself and four friends were told that we could have a table if we moved away from our stools at the bar.

Output: [['food', 'negative'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Servers are layed back, but food arrives rapidly.

Output: [['staff', 'negative'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Wine has had C-Tails at the bar(SUPRISE!!!)

Output: [['food', 'positive'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I went there for lunch a couple of times but whenever I went there (even though we pinpointed our order on menu), waitress messed up our order and they never said sorry.

Output: [['food', 'neutral'], ['menu', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Xunta's tapas dishes were great though a little pricey for small plates.

Output: [['food', 'positive'], ['miscellaneous', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Their Billy-Cheese steak sandwich is very good, too, but last I was there it wasn't on the menu, at least not for dinner anyway.

Output: [['food', 'negative'], ['menu', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We had the tasting menu -- which was not a meal!!!

Output: [['menu', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We had a very nice and entertaining waitress who was very much on top of our table.

Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Portion was just a bit small compare with other restaurant but the price was lower than usualy as well (7.

Output: [['miscellaneous', 'negative'], ['price', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We actually gave 10% tip (which we have never done despite mediocre food and service), because we felt totally ripped off.

Output: [['price', 'neutral'], ['food', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: We sat soaked in red wine for 20 minutes eating our meals w/o the wine b/c the server saw us like that but did nothing until we stopped him.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I've eaten at this Zen Palate location a few times, and each time have had the same reaction- I feel the food's sub-par, but decide to give it another chance and order something else.

Output: [['place', 'neutral'], ['food', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Diners at the bar watch busy chefs scoop lobster salad onto warm brioche rolls.

Output: [['place', 'neutral'], ['food', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The food and appearance of Alfama is quite nice but the menu is a bit deceptive in that my grilled shrimp (Peri Peri) consisted of an entree plate with three shrimp, no veggies or starch.

Output: [['food', 'positive'], ['menu', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: My vegetable Napoleon was good; although i first got the veggie burger because the waitress mis-heard and stood my friend up for another 15 minutes of waiting to have it served.

Output: [['food', 'positive'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Went with a large group of 7 ladies before a show, and the staff was extremely obliging, even when one person was late and we had to wrap up her dinner to take to her.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: A cocky, arrogant and shockingly condescending manager (all of 22 years-old) then told us we should leave the restaurant if we wouldn't move to the bar.

Output: [['staff', 'negative'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Then the huffy hostess when we asked to be seated at a table not directly on-top of another couple.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Our waitress left halfway through dinner, without explanation, and was replaced by another waiter.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Service during either brunch or dinner could be quicker and more attentive at times.

Output: [['service', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: You can undoubtedly get better food and service for the price at other places, but certainly not with those views!

Output: [['food', 'positive'], ['price', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Not including the tip for our server, who we saw twice in an hour?

Output: [['price', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Other than its impossible reservation (no matter how many months you call in advance, the only available time slots for dinner on a Saturday are always 4:45 or 9:45), Peter Luger is worth the drive over to Brooklyn.

Output: [['miscellaneous', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Reservations are no guarantee of prompt seating, have a pre-game drink, pop a xanax and you can handle the drama of having a res and getting no love from the hostess.

Output: [['miscellaneous', 'neutral'], ['food', 'neutral'], ['staff', 'positive']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: They were out of cherry, so we got a few slices of apple and one key lime.

Output: [['miscellaneous', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I have no complaints about the wait or the service but the pizza was not at all something to write home about.

Output: [['service', 'positive'], ['food', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: and you have to order through a pane of bulletproof glass, but the fact of the matter is, after a night of hard drinkin', college style, nothing hits the spot like a big box of inexpensive chicken and fries.

Output: [['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: The snooty manager asked us to leave and gave us our check in the middle of our meal.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Maybe go there for the view, but don't bother eating there, go to the bar.

Output: [['miscellaneous', 'positive'], ['place', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Service was prompt, although at times the waiters seemed to be spending more time dealing with the overflow from the bar than the diners (ever heard of cocktail waiters).

Output: [['service', 'negative'], ['place', 'neutral'], ['price', 'neutral'], ['staff', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: Its good to go there for drinks if you don't want to get drunk because you'll be lucky if you can get one drink an hour the service is so bad.

Output: [['food', 'positive'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: My companion went to the bathroom and overheard the waiter singing near the back of the place The cappuccino machine is broken, It's broken.

Output: [['place', 'neutral'], ['staff', 'negative']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: I am vegetarian - so this review applies only to the veg portion of their menu.

Output: [['miscellaneous', 'positive'], ['menu', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]


Input: after such a strong showing, dessert was a letdown per our waiters recommendation, we ordered the raspberry softie the coconut-stuffed apricots the softie tasted like a mixture between cough syrup a starburst, whereas the apricots were extremely sour.

Output: [['food', 'negative'], ['staff', 'neutral']]

Instruction: Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation."  Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]