Input: My Moon spent all their money on an architect/interior designer and forgot about the chef.

Output: [['money', 'neutral'], ['chef', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Now, I expressed my surprise and then the bartender and manager chimed in with a simpleton's remark sir, with restaurants at this time, reservations start coming in.

Output: [['manager', 'negative'], ['reservations', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Their mixed drinks weren't so good, but they have nice selection of wines.

Output: [['mixed drinks', 'negative'], ['selection of wines', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: sam adams on tap, french fries served out of a brown paper bag and a burger cooked perfectly.

Output: [['tap', 'neutral'], ['french fries served', 'neutral'], ['burger', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The food was good but took long and the drinks she recommended to us were too strong.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: be prepared for a long wait at dinner.

Output: [['wait', 'negative'], ['dinner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: My friend and I went out for a cigarette, and when we returned, our table had been given to another party- even though our drinks and unpaid bill were still on the table.

Output: [['drinks', 'neutral'], ['bill', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: finally they wanted to take our app order before taking our wine order, seemed like the waiter couldnt handle it all at once.

Output: [['wine', 'neutral'], ['waiter', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The food, service, and atmosphere are all pretty good, but a little pricy, coming to about 40$ a person if you order 1 drink and 1 appetizer each.

Output: [['food', 'positive'], ['service', 'positive'], ['atmosphere', 'positive'], ['drink', 'neutral'], ['appetizer each', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: But the best offerings are the a la carte grilled items, such as the chicken with scallion skewers and asparagus with bacon rolls.

Output: [['la carte grilled items', 'positive'], ['chicken with scallion skewers', 'neutral'], ['asparagus with bacon rolls', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The portions for the entrees did make up for it.

Output: [['portions', 'positive'], ['entrees', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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

Output: [['prices', 'positive'], ['breakfast', 'neutral'], ['snack', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Well, once again I was unable to finish the paella and ended up taking it home ( I filled up on delicious fried brie and duck)- Meow Meow.

Output: [['paella', 'neutral'], ['fried', 'positive'], ['duck', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Dishes feature intriguing names, and interesting combinations of fresh ingredients.

Output: [['Dishes', 'neutral'], ['ingredients', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: For spending over $100 per person for dinner, i would think that the waiter would put my plate of food down for me instead of handing me my dish.

Output: [['dinner', 'neutral'], ['waiter', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The good service started from the moment we walked in the front door.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: We get our beers and then are told from a confuzed waitress that she realized that she can't give us the happy hour drink prices if we are not sitting at the bar.

Output: [['beers', 'neutral'], ['waitress', 'negative'], ['bar', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The waiter was pleasant and I thought how bad could someone screw up basic Italian food?

Output: [['waiter', 'positive'], ['Italian food', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: They spoon the FAT GREASE over your steak when they bring it to the table.

Output: [['FAT GREASE', 'negative'], ['steak', 'neutral'], ['table', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Food was good (get a crepe or steak!)

Output: [['Food', 'positive'], ['crepe', 'neutral'], ['steak', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: When I had my dinner, the appetizers were flawless (try the carciofi and the polpettini), the entree was succulent (and fun having the branzino fileted at the table), and the tiramisu.

Output: [['dinner', 'neutral'], ['carciofi', 'positive'], ['entree', 'positive'], ['branzino fileted', 'positive'], ['tiramisu', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Hostess continued to ask us if everything was okay, and then did nothing when we gave her specific actions (how about some water or coffee served in paper cups).

Output: [['Hostess', 'negative'], ['coffee served', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: As expected, the wine list is as thoughtful as the menu the staff has earned my trust with their bullet-proof recommendations I have yet to be disappointed from their exhaustive list.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I'm a chef (30 years), and I can honestly say that I've finally found Italian food worth eating at a reasonable price.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Forget about the staff and go for the food and pleasant, if a bit cramped Lancaster, Pennsylvania like decor for comfort.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The combination of fresh tomato sauce, fresh mozz cheese, basil and the dough they make with imported flour, makes this is one of the better pizza's in NY.

Output: [['basil', 'neutral'], ['dough', 'neutral'], ['flour', 'neutral'], ['pizza', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I had high hopes for this high-ranked wonder, only to be let down by inattentive service doubled by LONG food and drink wait times.

Output: [['food', 'neutral'], ['wait times', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Some of the food is the Italian American red-sauce variety - fine if you're stuck in the past, but, there are also a number of very good, far more authentic Italian items at most reasonable prices.

Output: [['food', 'neutral'], ['variety', 'neutral'], ['prices', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: After we finished our salad our waitress told us that they had run out of roast lamb and pastitichio.

Output: [['salad', 'neutral'], ['waitress', 'negative'], ['roast lamb', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The steak au poivre certainly lives up to its lofty reputation, but it shuoldn't overshadow many of the other delicacies on the menu, such as the crab cakes and the frisee salad.

Output: [['steak au poivre', 'positive'], ['menu', 'neutral'], ['crab cakes', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The Japanese folk music blaring on the quaint speakers are a trip and they have some interesting things on the menu like bull pen|s and turkey testicles.

Output: [['Japanese folk music', 'neutral'], ['speakers', 'positive'], ['menu', 'neutral'], ['turkey testicles', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The menu includes the usual Chinese restaurant staples, but also includes a fairly diverse selection of other dishes not typically found in your average noodle house.

Output: [['menu', 'neutral'], ['dishes', 'positive'], ['house', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Greek Glasswine is still on menu along side good value bottle selections fromaround the world.

Output: [['menu', 'neutral'], ['value bottle selections', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The manager came personally to apologize and to my surprise, he brought me the drink, a big chocolate chip cookie, and a bag of chips!!!

Output: [['manager', 'positive'], ['drink', 'neutral'], ['big chocolate chip cookie', 'neutral'], ['bag of chips', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: of course i haven't mentioned the fact that we walked in on time for our reservation only to wait in the empty bar for over half an hour, being seated when we reminded the hostess that we were still waiting.

Output: [['reservation', 'neutral'], ['bar', 'neutral'], ['hostess', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Went the next day for lunch - menu too pricey for lunch and the waiter was the WORST !!

Output: [['day', 'neutral'], ['menu', 'negative'], ['waiter', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The only problem we had was with an incompetent waitress and floor manager which slowed down our food and seating.

Output: [['waitress', 'negative'], ['floor manager', 'negative'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: One oversight: the gf wanted tea to go along with the plate of yummies they gave me, but the server forgot to bring it since we took our time to finish the wine.

Output: [['plate', 'neutral'], ['server', 'negative'], ['wine', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The Patroon burger--Angus beef topped with a roasted tomato--is simple, yet able to stand on its own against any fully loaded competitor.

Output: [['Patroon burger', 'neutral'], ['a roasted tomato', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Good location, but tourist-y and poor quality food.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I realize that this place has a huge menu and, therefore, will have some not-so-good things, but it's the rudeness of the service that gets to me.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The chefs and staff are welcoming and happy to make substitutions or tune the spice up or down to your requests.

Output: [['chefs', 'positive'], ['staff', 'positive'], ['spice', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Service was at best distracted, at worst disdainful, even though we came early with a reservation and are not food novices.

Output: [['Service', 'negative'], ['reservation', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: as written below, the drinks were watered down, and they didn't have the ginger martini available nor all of the wine list.

Output: [['drinks', 'neutral'], ['wine list', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: great food, even better price, they also have a dj spinning great music, definitely a must try.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: No matter what you order, you're almost certain to get so much food you'll be leaving with a doggie bag.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Good wines under $100 are included in the predominantly French list, but take some ferreting out to find.

Output: [['wines', 'positive'], ['French list', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Since we already have our drinks there is no choice, so we are forced to pay full price.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I think the person who says it has a wierd taste must have had very bad luck because I think this is the most authentic thai I've had in NYC (and I'm comparing it to food in Thailand).

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: If the staff actually got it together and showed some customer service this place would be good.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The food was not good at all, starting with the green salad, and the entrees (garlic chicken, chicken extreme) were chicken doused in oily sauce.

Output: [['green salad', 'neutral'], ['sauce', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Waitress forgot drinks, and watched us begin our dinner without even water, strange.

Output: [['Waitress', 'negative'], ['drinks', 'neutral'], ['dinner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: After paying for our meal, we left some feedback with the manager (a chap named J.

Output: [['meal', 'neutral'], ['manager', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Order the porterhouse and they put it between you and you kind of eat family style at a wooden table.

Output: [['eat', 'neutral'], ['style', 'positive'], ['table', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: In any case, the food was quite yummy and on monday nights, they have a prix fixe $25 dinner which is definitely a deal.

Output: [['food', 'positive'], ['prix', 'neutral'], ['dinner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Someone should tell these people that high prices on the menu does not make your restaurant better.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: A full bar and a dozen different margaritas attract a happy hour crowd, and a tortilla machine is often surrounded by children watching the dough-to-tortilla transformation.

Output: [['margaritas', 'positive'], ['transformation', 'neutral'], ['bar', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: When we were finally seated about half an hour after my reservation, the waitress took her time taking our order.

Output: [['reservation', 'neutral'], ['waitress', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: If you're dining solo, you will feel completely at ease in the cozy environs; in fact, you're likely to see at least one other solo diner hunched over a book, sipping a glass of Chianti.

Output: [['dining', 'neutral'], ['environs', 'positive'], ['diner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: (and don't miss the olive oil when dining in - not sure what they put in it, but it is de-licious!

Output: [['olive oil', 'negative'], ['dining', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I ordered dessert and it was they gave me the wrong flavor of ice cream.

Output: [['dessert', 'neutral'], ['flavor', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Nice decor and an extensive menu lured me in, but the horrible service and rude staff drove me out.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Meaning, I ordered Lobster Tails as an entree (The Tails were delicious) and along with my Tails came Spinach with beans and fried potatoes that were close to potato steak fries.

Output: [['Lobster Tails', 'positive'], ['entree', 'neutral'], ['Spinach with beans and fried potatoes', 'neutral'], ['potato steak fries', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I was surprise with the Champagne toast from the concierge who booked our dinner.

Output: [['Champagne toast', 'positive'], ['dinner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: My girlfriend asked the bartender what kind of wine they had and since she couldn't hear she leaned on the bar to get closer to him and he made a face and told her not to get near him.

Output: [['bartender', 'negative'], ['wine', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The rice that we were served for dinner was dry and hard, obviously left over from lunch.

Output: [['rice', 'negative'], ['dinner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: the food was excellent, although they didn't have any dishes with meat, and the soy replacements definitely were not a replacement for meat.

Output: [['food', 'positive'], ['dishes', 'negative'], ['soy', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: ten minutes after we ordered the waitress came to our table and told us we had ordered complicated entrees and we would be waiting for 45 minutes.

Output: [['table', 'neutral'], ['entrees', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The margaritas were mediocre, but it did not make up for the muzak they played in the resturant nor the bad food and drink they served.

Output: [['drink', 'negative'], ['served', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The atmosphere was wonderful, however the service and food were not.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I had a tasty Caesar salad for an appetizer and ordered the 10 oz Fillet Mignon medium rare.

Output: [['Caesar salad', 'positive'], ['appetizer', 'neutral'], ['oz Fillet Mignon', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Bartenders look like model wannabes and threw out my friend's beer before he was finished (about 1/4 left).

Output: [['Bartenders', 'negative'], ['beer', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: They did not have mayonnaise, forgot our toast, left out ingredients (ie cheese in an omelet), below hot temperatures and the bacon was so over cooked it crumbled on the plate when you touched it.

Output: [['mayonnaise', 'negative'], ['toast', 'negative'], ['ingredients', 'negative'], ['cheese', 'neutral'], ['omelet', 'neutral'], ['bacon', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The place is packed, they don't take reservations and waited almost 2 hours.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: When it came time to get the check, they couldn't seem to determine which of the servers had it.

Output: [['check', 'neutral'], ['servers', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I though it was impossible to get such appetizers as a seafood salad or a seafood soup for about $3, but the taste and portions won't let you have any doubts.

Output: [['appetizers', 'neutral'], ['taste', 'negative'], ['portions', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: An Egg like custard appetizer, a platter of different kinds of rolls made from: Lobster, Eel, Sword Fish, Trout, Blue Fin Tuna, Horse Mackerel, and Salmon Roe.

Output: [['platter', 'neutral'], ['rolls', 'positive'], ['Eel', 'neutral'], ['Trout', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Get a bottle of wine, and eat what your heart has been desiring because all the things you would love to be on one menu--are!

Output: [['bottle of wine', 'neutral'], ['menu', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Granted, it's loud and sometimes obnoxious and it's such a pain to get seats for, but the the food is great.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Unfortunately the food and the service don't live up to the spectacular setting.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The place has a sort of trendy pseudo-asian decor that seems perfectly casual or romantic.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The staff was great - and all guests are seated by the owners.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: With dessert, the pre-theater is a great deal/meal.

Output: [['dessert', 'neutral'], ['pre-theater', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Smallish menu, but more than adequate, and not that heavy on sauces which is so typical of italian restaurants.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: This place is so very nearly achieving, but in the mean time, my advice - eat early elsewhere, then take your seat, order a bottle of wine and enjoy the performance and the ambience.

Output: [['bottle of wine', 'neutral'], ['ambience', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The Scene You'll have to knock to enter this hidden dining room, a luxe windowless space featuring four wall-sized murals depicting famous landmarks throughout the seasons, as well as a handful of finery-laden tables.

Output: [['Scene', 'neutral'], ['dining room', 'neutral'], ['space', 'neutral'], ['tables', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: When the manager came over, he accused my friend of offending the chef and continued to argue with her about the dish.

Output: [['manager', 'negative'], ['chef', 'negative'], ['dish', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: For around $50 per person for brunch, it was a great value and the food really was fantastic.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: After waiting more than 15 minutes for our order to be taken and then having the waitress not know how to make certain drinks, our party of 7 was obviously dissatisified.

Output: [['waitress', 'negative'], ['drinks', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Ones experience is truly dampened by having to trundle up lifts and escalators, further on arrival at the restaurant we found the actual dining room to be slightly sterile and lacking in atmosphere.

Output: [['actual dining room', 'negative'], ['atmosphere', 'negative'], ['experience', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The worst service I have ever had - entered the restaurant and waited at the door for 5 minutes before deciding to push our way past the extremely small bar to find a waitress.

Output: [['service', 'negative'], ['bar', 'negative'], ['waitress', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The waitress/hostess seemed a bit sad when we told her we weren't ordering dessert (those arepas are deceptively filling!

Output: [['waitress/hostess', 'negative'], ['dessert', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The food was ok, good bread.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I am a martini guy - vodka, not gin - and their classic martini with blue cheese olives is pretty damn near definitive.

Output: [['martini guy', 'neutral'], ['martini with blue cheese olives', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: While I would agree with the initial review that Asia de Cuba isn't really Asian or Cuban in its decor, the food was a nice fusion.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: In fact, you can't really say you've arrived in this town until you've scored a table here and made the pilgrimage to east Harlem for luscious pastas and chicken in vinegar and lemon.

Output: [['table', 'neutral'], ['pastas', 'positive'], ['chicken in vinegar', 'neutral'], ['lemon', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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: [['waitstaff', 'positive'], ['bill', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The Setting The exposed brick and tangerine walls, flickering candles and tiny bar cast a formal mood across this cozy Park Slope trattoria, but the high ceiling fans and two glass walls (left open in warm weather) add a casual breeziness.

Output: [['Setting', 'neutral'], ['candles', 'neutral'], ['bar', 'positive'], ['ceiling', 'positive'], ['breeziness', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: We made reservations for 6pm on Friday and it was not necessary BUT the place got packed really quick around 7-8pm.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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: [['reservation', 'negative'], ['dinner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The pooris were miniscule, about 2 bites each; they serve 4 of those as a dinner for $25!

Output: [['pooris', 'negative'], ['dinner', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Highly suggest you sit at the bar for added atmosphere and generally friendly people.

Output: [['bar', 'neutral'], ['atmosphere', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: As a lover of everything humus and cucumber, there is no other restaurant in the city that compares to Mogador's appetizers.

Output: [['humus', 'positive'], ['cucumber', 'positive'], ['appetizers', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: A great coal fired crust provides a backyard BBQ taste.

Output: [['crust', 'positive'], ['backyard BBQ taste', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Although the food was great, the service was so bad that I can't see myself ever returning.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Tried to get a table during restaurant week but there was an over an hour wait.

Output: [['table', 'neutral'], ['wait', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The fresh mozzerella appetizer had to be the runniest mozz I have ever had, and the accompanying tomato was so over-salted I could barely eat it.

Output: [['mozzerella appetizer', 'positive'], ['accompanying tomato', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The cultured wait staff were accommodating and helped explain and pronounce the items off the menu.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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: [['manager', 'negative'], ['bar', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: When I saw it on the menu I didn't beleive it and was not expecting the real thing.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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 and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: When I complained regarding the poor tiramisu, the waitress made a flip comment regarding the fact that I shouldn't order an italian dessert in an irish restaurant.

Output: [['tiramisu', 'negative'], ['waitress', 'negative'], ['dessert', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: We held a birthday dinner for my friend and were very impressed w/ both food and service.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: My favorite dishes all involved squash of some kind, which i would not expect to love.

Output: [['dishes', 'positive'], ['squash', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The restaurant appears clean and the food was fine until my dining partner discovered pieces of chicken about half way through her vegetarian dish.

Output: [['dining', 'neutral'], ['chicken', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The waitresses and the diners have to scream at one another to give an order.

Output: [['waitresses', 'negative'], ['diners', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: We a menu that rearely changes,e xcept for one or two specials, the quality and care they put in thier food in evident.

Output: [['quality', 'positive'], ['care', 'positive'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: This Raku provided fresh and sumptuous sushi, sashimi, and deliciously prepared cooked entrees, which did much to alleviate my jitters about fishing (or dining, as it were) in unfamiliar waters.

Output: [['sushi', 'positive'], ['sashimi', 'positive'], ['entrees', 'positive'], ['dining', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: When we sat, our waiter came over immediately and recommended the snapper and the pho-- some of the tastiest I've had, and I went to Tu Lan 3x a week in San Francisco.

Output: [['waiter', 'positive'], ['snapper', 'neutral'], ['pho', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Had an OK dinner that was made better by the attention the owners pay to the patrons.

Output: [['dinner', 'neutral'], ['owners', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I must start by stating plainly that I love Jeollado, but it is loud, the service is bad, but the rolls are great and it is the best deal (CHEAP) in town.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: We sat near the sluggish, hot and very loud kitchen and the service area was not wiped down once during the entire time.

Output: [['kitchen', 'negative'], ['time', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Unfortunately, the food is awful, the staff really doesnt care about you, and the frozen hot chocolate is just a chocolate milkshake (it wasnt all that great) I went before lunch on a Thursday and it took me 2 hours to get in.

Output: [['food', 'negative'], ['staff', 'negative'], ['frozen hot chocolate', 'negative'], ['chocolate milkshake', 'negative'], ['lunch', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: There might be a wait for brunch or even for dinner, but the quality of the food is always worth the wait.

Output: [['brunch', 'neutral'], ['dinner', 'neutral'], ['quality of the food', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The service, which was horrendous - they charged us for two appetizers when we asked to split one (when we brought it up, he insisted that the appetizer really did only consist of 2 sliced tomatoes and 1 slice of cheese).

Output: [['service', 'negative'], ['appetizers', 'neutral'], ['slice of cheese', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: It was a crowded Wednesday night but we were seated near the kitchen right away, talked to all of the staff who were friendly and made the evening special for my date and I.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The $9 glass of wine which the waitress called good was like grape juice with alcohol and no sugar.

Output: [['glass of wine', 'neutral'], ['waitress', 'negative'], ['grape juice', 'neutral'], ['alcohol', 'neutral'], ['sugar', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The waitresses are at your table filling your water or oil before your last sip or dip.

Output: [['waitresses', 'positive'], ['water', 'neutral'], ['oil', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I managed to get the last reservation at 11:15pm during the week, and, upon entering the restaurant, my boyfriend and I were seated next to each other, hardly a romantic atmosphere!

Output: [['reservation', 'neutral'], ['atmosphere', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The upside of the smallish portions is that a good sake can do a better job working over one's date, and you don't leave the table w/ a food coma.

Output: [['portions', 'negative'], ['table', 'neutral'], ['food', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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'], ['waiter', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I and 3 friends went there last night for dinner and loved the food, which I have to say was uniformly outstanding and some of the best I've had for under a zillion dollars in a long time.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Then we were seated at a large booth and it took the waiter 20 minutes to come back and take our order but I sort of expected that with a new restaurant.

Output: [['booth', 'positive'], ['waiter', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The mint love letters and spaghettini primi we ordered as entrees were perfection.

Output: [['letters', 'positive'], ['primi', 'positive'], ['entrees', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: the waiter was extremely helpful, basically we gave him carte blanche to order small plates for us that he thought we'd like.

Output: [['carte', 'neutral'], ['plates', 'neutral'], ['waiter', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: No doubt, the lobster bisque will knock your socks off, but you'd be cheating yourself if you didn't try some of the other options, specifically the sausage gumbo and the veal ghoulash really lit my fire.

Output: [['lobster bisque', 'positive'], ['sausage gumbo', 'negative'], ['veal', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Their service needs some work, but it is safe to say that you will enjoy the food.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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: [['server', 'neutral'], ['service', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I had one of the worst service experiences in memory having the prix fix brunch there--waving arms, calling, asking two or three times for everything from coffee to the check.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: I love deviled eggs, a BBQ staple - but I'll be damned if serving two eggs (four VERY small halves) qualifies as an appetizer.

Output: [['BBQ', 'positive'], ['appetizer', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


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'], ['portions', 'negative'], ['meal', 'negative'], ['served', 'negative']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: The Scene The entrance leads into a dim, narrow bar decorated with sake bottles, exposed brick and a beautiful arched wooden ceiling.

Output: [['Scene', 'neutral'], ['bar', 'negative'], ['sake', 'neutral'], ['ceiling', 'positive']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Nothing on the menu jumped out at me, but when we tasted the chicken and the pork tenderloin.

Output: [['menu', 'negative'], ['pork tenderloin', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]


Input: Our waiter fast to get our drinks, aptz, and orders.

Output: [['waiter', 'positive'], ['drinks', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The decor is not special at all but their food and amazing prices make up for it."  Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']]