Input: Other small dishes, such as the fragrant sesame oil-scented raw spicy tuna, are excellent with a beer-sized mug of cold oolong tea.

Output: [['dishes', 'negative'], ['fragrant sesame oil-scented raw spicy tuna', 'positive'], ['tea', '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: True, the ambiance is something out of Goodfellas, but it the food and waiters are out of this world!

Output: [['ambiance', 'negative'], ['food', 'positive'], ['waiters', '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 was impressed with every dish and was tempted to go back for dinner that night!

Output: [['dish', '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: junk food place that could do well with a good cleaning.

Output: [['food place', 'neutral'], ['cleaning', '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: There's even a nice menu of savory items served during late lunch and dinner hours.

Output: [['savory items served', 'positive'], ['dinner hours', '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 numbness in your lower legs from sitting on old wood chairs is more than compensated by the wonderful food.

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

Output: [['menu', 'positive'], ['Grill', 'neutral'], ['space', '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 like to drink a variety of teas, but I've had some here that are really weird that I would avoid next time.

Output: [['drink', 'positive'], ['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: The organic free range chicken was a 6, the lamb chop was excellent, and we had to send the halibut back 2x with no result- ended up having to order anther dish (cod) in which the fish was good but the clams were too tough to eat and the sausage wasn't even finished cooking (thus could not be consumed).

Output: [['organic free range chicken', 'neutral'], ['lamb chop', 'positive'], ['dish', 'neutral'], ['fish', 'positive'], ['sausage', '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 drinks are very pricey and small, and the food is ok - but the portion size for the price is outrageous.

Output: [['drinks', 'negative'], ['portion size', '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 date and I were both taken back by the lack of the friendly attitude from the owner of the restaurant.

Output: [['attitude', 'positive'], ['owner', '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: First, the waiter brought us to a table where people were still finishing their coffee from their meal - he told them the restaurant was busy and they needed to finish now and to pay their bill inside.

Output: [['waiter', 'negative'], ['meal', '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 lovely waiter sent us off with scones for breakfast the following AM!

Output: [['waiter', 'positive'], ['breakfast', '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 entree I would recommand the rabbit curry - the meat was cooked very finely and the curry sauce, though a bit too sweet, went well with rice.

Output: [['entree', 'neutral'], ['rabbit curry', 'positive'], ['meat', 'positive'], ['curry sauce', '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 a crazy day @ work, with no reservation, we were so lucky to score a seat at the bar on an incredibly busy evening.

Output: [['reservation', 'neutral'], ['seat', 'neutral'], ['bar', 'neutral'], ['evening', '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: Besides, vegetarian or not, there are always ways to liven up food without compromising the healthy aspect.

Output: [['food', 'negative'], ['aspect', '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 read about this place in the Post, but never stepped foot in it I ordered a red velvet cake to be delivered to lOwer Manhattan; It got there, and the broads at the office raved about it!

Output: [['red velvet cake', 'neutral'], ['broads', '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: If you are undecided about which sandwich to choose, go for the Indecision, which is a trio of smaller sandwiches on the menu.

Output: [['Indecision', 'neutral'], ['sandwiches', '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: If you had good service there, try to get your waiter's name and request him/her by name the next time.

Output: [['service', '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 prefer to sit at the bar as I don't have to listen to loud, boring conversations from the next table who always seem to be friends of the owner.

Output: [['bar', 'neutral'], ['next table', 'neutral'], ['owner', '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 waiter spent a long time telling us about the menu (and more about his own life history in the process.

Output: [['waiter', '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: We had a nice bottle of wine, dinner, and dessert for under $200.

Output: [['bottle of wine', 'positive'], ['dinner', 'neutral'], ['dessert', '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: Everything on the menu is satisfyingly savory, from a simple pot of mussels in a choice of sauces (beer-and-bacon, creamy mushroom, or white-wine-and-garlic broth), to beef stewed with beer and prunes, to a juicy croque-monsieur, and beyond.

Output: [['menu', 'neutral'], ['pot', 'positive'], ['mussels', 'positive'], ['white-wine-and-garlic broth', 'neutral'], ['beef stewed', '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 wait staff didn't bother to refill my water until I had finish mine and was almost done with my husband's glass too.

Output: [['wait staff', 'positive'], ['water', '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: Yes, this place is good, a cut above some of the other local diner food and a nice, friendly atmosphere.

Output: [['place', 'positive'], ['diner food', '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: since we're informed its service isslow we had dinner in midtownwent for dessertb-day thing.

Output: [['service', '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: It's one of our take-out staples because of the good food, fast delivery time and the cheap price (for under $25 we have a dinner for 2 and with left-overs).

Output: [['take-out staples', 'neutral'], ['food', 'positive'], ['delivery', 'positive'], ['price', '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: Too late to get a reservation so we went upstairs where initially the crowded scene threw me for a loop.

Output: [['reservation', 'neutral'], ['scene', '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  Chief among the neighborhood's bustling cafes is Kolonaki, with its inviting upstairs space, replete with rich, dark wood tables and windowsills.

Output: [['Scene', 'neutral'], ['upstairs space', 'positive'], ['wood 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: The texture of their flat noodles is something that has to be experienced to understand.

Output: [['texture', 'negative'], ['flat noodles', '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, we were seated within an hour, the bartender and waiter were very nice and the food was good (although my pork was too salty) we would not return.

Output: [['food', 'positive'], ['pork', '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 blemish was our waitress, who left us with empty drinks for quite a long time.

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: We (naturally) asked for a discount when the bill came, and our waitress disappeared for a moment and offered us.

Output: [['discount', '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: When the bill finally arrived, the head waiter sternly told us that this time is okay, but next time you have to order more than 2 appitizers and a main course!

Output: [['waiter', 'negative'], ['appitizers', '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 looked great, but the food was the biggest disappointment i've had yet!

Output: [['menu', '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: We waited in standing at the entrance for 5 mins to get seats due to just slow service, another 10mins to get menu, and then another 10mins to get water bread.

Output: [['service', 'negative'], ['menu', 'neutral'], ['bread', '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 wait staff is very attentive, and you can smoke at the bar while enjoying the view of the river.

Output: [['wait staff', 'positive'], ['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: I complained to the manager who offered to move us and pay for our appetizers.

Output: [['manager', 'negative'], ['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: We were not seated by a hostess (and as a result didn't receive menus or water for a good while) and were rushed out as the restaurant closed an hour after we arrived.

Output: [['hostess', 'negative'], ['menus', '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 requested a change to the non-smoking section, the waiter replied that there were no open tables.

Output: [['waiter', 'neutral'], ['tables', '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: When we showed up, the guy at the door said it would be 15 minutes and that we could wait by the bar.

Output: [['guy', '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: Caffeine addicts will have to find their fix elsewhere as coffee is curiously not on the menu, but the Singha beer and decent wine list more than compensates.

Output: [['menu', 'neutral'], ['wine list', '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 value for money--especially the $7 lunch special for 2 courses.

Output: [['value for money', 'positive'], ['courses', '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: Dinner is a tad dodgy, especially if you don't eat meat or fish.

Output: [['Dinner', 'negative'], ['meat', '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 is decent but small portions so expect to order a lot.

Output: [['food', 'positive'], ['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: Comfort is decidedly not a factor in the Arturo's experience--once patrons escape the bottleneck near the bar, they're shoehorned into a miniscule dining room.

Output: [['Comfort', '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: Then the huffy hostess when we asked to be seated at a table not directly on-top of another couple.

Output: [['hostess', 'negative'], ['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: Remember the 80's when you have to wait 1-2 hours for a table even though you have a reservation + the wait staff treated you like the idiot that you are for paying $2-300 per head for this treatment, then you should definately come to experience this jewel!!

Output: [['table', 'neutral'], ['reservation', 'neutral'], ['wait 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: On the other hand, the food was good but not awesome as had been described, furthermore I found the portions fairly small for this type of restaurant.

Output: [['food', 'positive'], ['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: The owner Don greeted us at the door with a warm smile, and seated us for dinner upstairs.

Output: [['owner', '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: Our waitress couldn't tell us what was in the seafood special, forgot to put in our oyster order so it came at the same time as the main meals, wasn't able to provide a confident recommendation from the menu, and had to be flagged several times for drinks.

Output: [['waitress', 'negative'], ['main meals', 'neutral'], ['menu', 'neutral'], ['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: Went for an early V-Day dinner, only to be highly disappointed by the service.

Output: [['V-Day dinner', '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: Staff would not change a meal to accomadidate food allegeries.

Output: [['Staff', 'negative'], ['meal', '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: We waited FOREVER on Valentine's Day for our table because their hostess had lost our reservation BUT the food was worthy of the long wait anyway.

Output: [['table', 'neutral'], ['hostess', 'negative'], ['food', 'positive'], ['wait anyway', '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: Flavorful Indian favorites like vegetable pakora, lamb tikka masala and tandoori chicken, as well as unexpected offerings such as Alaska king crab legs and fried coconut shrimp, are served at extremely reasonable prices.

Output: [['vegetable pakora', 'neutral'], ['lamb tikka masala and tandoori chicken', 'neutral'], ['Alaska king crab legs and fried coconut shrimp', '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: The food is on the good side but not so terrific to compensate the bad service, crammed tiny-tables, dirty glasses, overly loud music, which is good for the bar part of the establishment but not when you want to seat down, eat and have a normal conversation at normal volume.

Output: [['food', 'positive'], ['service', 'negative'], ['glasses', '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 was disappointed to hear another waiter (or it could've been the owner) was reading completely different specials (most of which I would've wanted to try if I didn't overhear at the end of our meal) to the table next to us.

Output: [['waiter', 'negative'], ['owner', 'negative'], ['specials', '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 from last year, a young man named Chris, actually remembered us (we did speak at length that evening about everything from food and wine to how to create good marrige).

Output: [['waiter', 'positive'], ['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: As a chef I really appreciated the well executed dishes that were full of crisp and vibrant flavor contrast acting in harmony and perfect balance.

Output: [['chef', 'neutral'], ['dishes', 'positive'], ['flavor', '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 can be a bit spotty since they are sometimes busy taking phone orders to attend to the restaurant patrons so make sure you have a lot of time to spare when you go there for dinner.

Output: [['service', '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: atmosphere is not that relaxing, if you go - you MUST bring a cell phone and go down the street for a drink.

Output: [['atmosphere', 'negative'], ['drink', '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 pizza shop is one o fhte best places ever and is a hiden gem in a small community.

Output: [['pizza', 'positive'], ['community', '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: After being seated outside by the host, a waitress came over and yelled at us for taking a table that belonged to people waiting at the bar.

Output: [['host', 'neutral'], ['waitress', 'negative'], ['waiting', '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 booking reservations at Danube, only to show up and not have any tables available, the Danube somelier graciously called over to Bouley and got us a table for immediate seating.

Output: [['reservations', 'neutral'], ['tables', 'negative'], ['seating', '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: Highlights include a breaded veal chop with tomatoes and arugula, a pea-and-mushroom risotto topped with slivers of fried zucchini and doused with truffle oil, and a top-shelf roasted chicken with rapini and sausage.

Output: [['breaded veal chop with tomatoes and arugula', 'positive'], ['pea-and-mushroom risotto topped', 'positive'], ['slivers of fried zucchini', 'neutral'], ['doused with truffle oil', 'positive'], ['top-shelf roasted chicken', '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 was a bit taken aback by the paper napkins and the flyer like menu, but was excited nevertheless to taste the food praised by at least 6 people on this site.

Output: [['flyer', 'neutral'], ['menu', '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: The tables weren't bussed and they forgot to make my chai tea, which wasn't all that delicious, not was my friend's coffee.

Output: [['tables', 'negative'], ['coffee', '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: Service is FAST so if you are dining, order entrees after receiving apps.

Output: [['Service', '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: Upon finishing our meal that same waitress that ignored us, suddenly appeared at our table asking if we needed our check, we were finishing our coffee and drinks, yet she was blatantly trying to get us out so that the table could be turned over.

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: The kinds of places like this where strangers are likely to share a table during the lunch rush always have better food than the Table-cloth places.

Output: [['lunch', '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: You'll find classic PS450 dishes like the sliced steak atop creamed spinich on crunchy little toasts and new items like brie poppers on drizzled strawberry-infused sauce.

Output: [['PS450 dishes', 'positive'], ['sliced steak', 'positive'], ['items', 'positive'], ['poppers', 'neutral'], ['sauce', '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 recommended thZt we share a few of the appetizers; they were great.

Output: [['waiter', 'neutral'], ['appetizers', '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 went here for a fun dinner with friends - they do not take reservations during the week, but we were seated pretty swiftly for a Friday night, having had a delicious glass of Spanish wine at the bar.

Output: [['dinner', 'negative'], ['glass of Spanish wine', 'positive'], ['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: We were just settling the bill, when a waiter I can only assume held a controlling interest in the restaurant (else he would've been fired long ago) came to the table and demanded to know why someone (our friend who'd briefly left to use the restroom) had left her beer half-full.

Output: [['bill', 'neutral'], ['waiter', 'negative'], ['half-full', '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 only gripe was that the food was all in big bins, but that's expected for a lunch rush hour type crowd.

Output: [['lunch', 'neutral'], ['crowd', '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've been here twice for brunch, and I found the ambience and food to be much better than the overly-hyped Kitchenette next door.

Output: [['brunch', '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 food is just ok, not really memorable and not what you expect for the price but I guess the atmosphere is what you pay for.

Output: [['food', 'positive'], ['price', 'negative'], ['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: What I liked the most is that the staff listened attentively to what I asked for and my meal was prepared EXACTLY the way I asked, what a treat.

Output: [['staff', 'positive'], ['meal', '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 drinks were water down and the only BIG thing was the bill.

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: Its not cheap, it was $10 for a burger and fries, and when i was there, the waiter had dropped a FULL glass of coke on a patron, soaking her through!

Output: [['burger', 'neutral'], ['waiter', 'negative'], ['glass', '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 bill total was only $30 and our waiter threw in a side of linguini (no charge) since the entrees don't come with pasta sides.

Output: [['bill', 'neutral'], ['waiter', 'negative'], ['entrees', 'negative'], ['pasta sides', '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 reservation was easy enough to make the night before for a Saturday night (after the pre-theater crowd).

Output: [['reservation', 'positive'], ['crowd', '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 was 3 baby carrots, a spoon full of spinach, sun dried tomatoes, 3 pieces of eggplant, and 10 string beans, oh and onions.

Output: [['baby carrots', 'neutral'], ['spinach', 'positive'], ['sun dried tomatoes', 'neutral'], ['eggplant', 'neutral'], ['onions', '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: Last time I was there the chef made me a special dessert called yokan (red bean cake with strawberry sauce on top) and it was delicious.

Output: [['chef', 'positive'], ['dessert', 'positive'], ['yokan', '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 you don't mind eating great thai food in a schnazzy ambience with a hop hip lunch crowd, then come on over to SPICE.

Output: [['thai food', 'positive'], ['ambience', 'neutral'], ['lunch crowd', '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: Decor is sort of homey, with mismatched tables and plates.

Output: [['Decor', 'positive'], ['tables', '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: Generally one would have to point out to the waitstaff the beer was flat and ask for another.

Output: [['waitstaff', '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: Though we had to wait about 45 minutes from our dinner reservation time, we were given breadsticks, olives and parmasean to nibble on while we waited, albeit in the very cramped bar area.

Output: [['olives', 'neutral'], ['bar area', '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, one of the waitstaff noticed and brought out a dirty bus pan which he put on the table next to me and started bussing the entire dining room.

Output: [['waitstaff', 'negative'], ['dining room', '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 sat soaked in red wine for 20 minutes eating our meals w/o the wine b/c the server saw us like that but did nothing until we stopped him.

Output: [['red wine', 'neutral'], ['meals', 'neutral'], ['server', '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: Our party of 4 ordered only appetizers (about 6 of them) and made a wonderful meal out of it.

Output: [['appetizers', 'neutral'], ['meal', '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 addition guys, please hire some waitstaff who know both English and your menu.

Output: [['waitstaff', '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: The menu features such sumptuous fare as lobster ravioli in a light aurora sauce, double-cut grilled veal chop with an aromatic salsa verde, and octopus salad with steamed potato, red onions, and caper berries.

Output: [['menu', 'neutral'], ['fare', 'positive'], ['lobster ravioli in a light aurora sauce', 'neutral'], ['double-cut grilled veal chop', 'neutral'], ['aromatic salsa verde', 'neutral'], ['octopus salad with steamed potato, red onions', 'neutral'], ['berries', '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 soft shell chicken taco is alright, but nobody would go here for serious Mexican food.

Output: [['soft shell chicken taco', 'positive'], ['Mexican 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 asked the waitress what this was for and her responses were as follows: We put in an extra shot, We had to use ice in the drink, and It must have been the computer.

Output: [['waitress', 'negative'], ['drink', '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 bill came out to quite a lot though, considering there were 14 of us some of us ordered way too many drinks.

Output: [['bill', 'neutral'], ['drinks', '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: Although the waitress had clearly our reservation on her book, she told us somebody arrived one minute ago and being first to arrive, he could have our table.

Output: [['waitress', '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: The Food Guiltily scarf down fried catfish sandwiches and collard greens, or try Clinton's favorite: short ribs and fried chicken.

Output: [['fried catfish sandwiches', 'positive'], ['collard greens', 'neutral'], ['ribs', 'positive'], ['fried chicken', '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 waitress took about 20 minutes to bring us the menu.

Output: [['waitress', '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: After arriving an hour early for our reservation for 2 and politely asking for a table near the band we were promptly seated at one of the worst tables in the place.

Output: [['reservation', 'neutral'], ['band', 'neutral'], ['tables', '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: we ordered simple salads, which were outrageous in price and def.

Output: [['salads', '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: It's just nice to have a place like this - a sit down place with a lot of food choices, not centered on a particular ethnicity and a bar - as an option here.

Output: [['food choices', 'positive'], ['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: There were a few moments during the tasting menu that left me speechless, such as the shrimp in cream sauce, toro with foam, foie gras custard, eggplant in miso and a foie gras kobe beef filet fried ball that brought me to tears.

Output: [['menu', 'positive'], ['shrimp in cream sauce', 'positive'], ['eggplant in miso', 'positive'], ['moments', '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: All dishes have been adjusted for American preferences (bland, missing spices and wok heat).

Output: [['dishes', 'neutral'], ['spices', '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: There is almost always an hour wait at dinner time, but this may be the best Japanese Sushi restaurant in NYC.

Output: [['dinner', 'neutral'], ['Japanese', '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 waited forever for our bill but did have a nice conversation with one of our waitstaff during our meal.

Output: [['bill', 'negative'], ['waitstaff', '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: Watch out for the sesame noodles, though, and leave the complimentary pickled cabbage and carrots sitting on the table for the next customer to enjoy.

Output: [['sesame noodles', 'negative'], ['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: My fiance and I always get mussels a la Cono and linguine a la Cono, but all the other pasta dishes I've tried have been good or excellent.

Output: [['mussels', 'neutral'], ['pasta dishes', '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 would say that the atmosphere was nothing amazing, I didn't feel like the authenticity of the history of the place was nearly as prevelant as it could have been in the experience.

Output: [['atmosphere', 'positive'], ['place', '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 it's not on the menu, ask for the string bean and goat cheese salad- delicious.

Output: [['menu', 'neutral'], ['string bean and goat cheese', '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 a party of 9 reservation and was very disappointed at the service.

Output: [['reservation', '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: Fifteen minutes later, when we asked about our drinks, another server went to investigate and found that they'd run out of one of the liqueurs they needed and had gone out to get more -- which is fine, but it would've been nice to know.

Output: [['drinks', 'neutral'], ['server', '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: WHen I politely asked for a water he pointed to the waiter and looked the other way!

Output: [['water', '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: Waiters take your order and you don't get your food for at least 1 hour so you can prchase drinks.

Output: [['Waiters', 'negative'], ['food', 'neutral'], ['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: Frustrated, hand the check back to the server and said 'by the way, never got the dessert and he said i did not realize you wanted dessert'

Output: [['check', 'neutral'], ['server', '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: We got so frustrated with our waitress, who stopped by twice over the course of 2 1/2 hours, that we had to order everything from the bar.

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

Output: [['hostess', 'negative'], ['afternoon', 'neutral'], ['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: However, the appetizers I've tried (rolls, calamari, fish fingers) were really delicious.

Output: [['appetizers', 'positive'], ['rolls', 'neutral'], ['calamari', 'neutral'], ['fish', '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 reasonably quick via delivery, but the hunan beef had no spice whatsoever and the chicken chow mein really looked inedible.

Output: [['delivery', 'positive'], ['hunan beef', '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: Go have a drink there the space is beautiful and buy an appetizer maybe, but pass on dinner, not well cooked and small portions.

Output: [['space', 'positive'], ['appetizer', 'neutral'], ['dinner', 'neutral'], ['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: The steaks are just as good, with an assortment of tasty side dishes that make Peter Luger's menu look like the slip in a fortune cookie.

Output: [['steaks', 'positive'], ['assortment', 'neutral'], ['side dishes', '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: Food was so-so, but it was the most awful dinner I experienced in my life.

Output: [['Food', 'neutral'], ['dinner', '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: For a menu in a similar price range with some similar items, but mostly unique entrees, try the less formal Toast 13 or so blocks north on the same side of Broadway.

Output: [['price range', 'neutral'], ['entrees', '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 feeling of unwelcomeness was especially prevalent due to the fact that our waiter hovered over our table and immediately cleared the table of dishes and glasses, some of which were still full in order to get us out the door ASAP.

Output: [['waiter', 'negative'], ['table of dishes', '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 seem under staffed and Waiters do not really know the menu.

Output: [['Waiters', '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: The manager (or someone very important that was able to be seated 1/2 hour before opening) sat in the corner, with a glass of wine, a date, and talked on his cell for about an hour, loudly, while the first arrivals were sent to the hotel tearoom next door.

Output: [['manager', 'negative'], ['corner', 'neutral'], ['glass of 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: It still took a little while to get our drinks and food - But the atmosphere made up for it.

Output: [['drinks', '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: Manager couldn't be bothered to come over and acknowledge the mistake.

Output: [['Manager', 'negative'], ['mistake', '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 has great ribs, not to mention hot waitresses, its a great place to meet for drinks and dinner before you go out, but it does turn into a bit of a sausage fest on the weekends.

Output: [['ribs', 'positive'], ['waitresses', 'positive'], ['drinks', 'neutral'], ['dinner', 'neutral'], ['sausage fest', '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: You may as well just extend the bar into the restaurant since it has already penetrated it with loud music, loud voices, and a remarkable amount of cigarette smoke.

Output: [['bar', 'neutral'], ['music', 'negative'], ['smoke', '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: After I had complained to a bouncer (the manager would not see me) a waiter was sent over and did get us our drinks.

Output: [['manager', 'negative'], ['waiter', '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: After waiting for 90 minutes, the host gave away our table to a couple who arrived after us.

Output: [['waiting', 'negative'], ['host', '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: We had to ask FIFTEEN TIMES for water, we had no idea what we were eating (due to incomprehensible serving staff), waited 25 minutes after asking for our bill, and were charged a 20% corking fee ON WINE WE BOUGHT THERE.

Output: [['water', 'neutral'], ['serving 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: The server (Jasmine) checked up on us periodically and was patient as she explained certain menu items.

Output: [['server', 'positive'], ['menu items', '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 saw a couple of us struggling with the menu and I felt she was frustrated with us.

Output: [['waitress', '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: The service was unattentive and the only time she came over was to aggressively push drinks on us.

Output: [['service', '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: However, unlike a lot of places the service was great: we walked in after not being able to get a reservation and were seated within 10 mins.

Output: [['service', 'positive'], ['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: I asked the waiter to move us to another table because we didn't want to rush our meal.

Output: [['waiter', 'neutral'], ['table', 'neutral'], ['meal', '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 waitress was friendly but did not know the menu and had to run to the kitchen after each question.

Output: [['waitress', '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: It is far more popular as a bar than as a restaurant, with only a few tables and the waiter being the bartender, but we greatly enjoyed the unobtrusive atmosphere.

Output: [['tables', '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 drinkers beside us had fresh glasses of water brought on trays to replace the empties and a smiling waitress to cater to their every whim.

Output: [['drinkers', 'positive'], ['trays', 'neutral'], ['waitress', '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: They ended up cramming 10 of us on 3 small tables, then taking forever with our food.

Output: [['tables', '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']]