Input: Also, neither our waiter or busboy ever came back to ask if we wanted more to drink or even refill our WATER glasses.

Output: [['waiter', 'negative'], ['drink', 'neutral'], ['WATER glasses', 'neutral']]

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


Input: The restaurant has a modern look with remarkable tables and bar.

Output: [['tables', '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: the service was inattentive (didn't bring us wine til our main course was already served and didn't open the bottle in front of us!!!

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

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


Input: Servers struggle to explain the menu to those who can't tell an idli from a chapathi, but the mostly Indian clientele is completely at home with the vegetarian South Indian fare.

Output: [['Servers', '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: They brought my mother a chicken enchiladas instead of cheese and then it took her 10 minutes to explain what the error was to the waiter and bus boy who then finally had to tell the manager who was also confused and my mother is fluent in Spanish.

Output: [['cheese', 'neutral'], ['waiter', 'negative'], ['manager', 'negative']]

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


Input: we ordered filets, and ny steaks eventhough our waiter kept pushing up to get the porterhouse.

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

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


Input: The House salad is big enough to split, The Fried Calamari is some of the best I ever ate, the bowties broccoli, broccoli rabe, square slices, broiled filet of sole, clam sauce.

Output: [['House salad', 'positive'], ['Fried Calamari', 'positive'], ['slices', 'neutral'], ['sole', 'neutral'], ['clam 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: The wine kept coming and we were having such a great time, we didn't realize our entree still had not come an hour later.

Output: [['wine', 'positive'], ['entree', '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: Prompt local delivery, minimal seating and counter space.

Output: [['delivery', 'positive'], ['seating', 'neutral'], ['counter 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: Cheese on the bottom, sauce on top - not too thick or doughy.

Output: [['Cheese', 'negative'], ['bottom', 'neutral'], ['sauce', 'neutral'], ['top', '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: Called to make a reservation and b/c the man who answered was so nice decided to chance it.

Output: [['reservation', 'neutral'], ['man', '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 waiter seemed truly disinterested (he forgot to bring the bread basket and the wine was served after he delivered the entrees.

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

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


Input: After arriving we were told to wait at the bar, where there wasn't an inch of space so we remained in the tiny area near the coat check.

Output: [['bar', 'neutral'], ['space', '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 even gave us a complimentary dessert- warm chocolate lava cake with a scoop of cinnamon ice cream, what a perfect end to a perfect dinner!

Output: [['waitress', 'positive'], ['ice cream', '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: Once the waitress cursed our table for not tipping enough after we had waited an hour to order and another half an hour just to get a drink, on top of this I had to find my own cutlery.

Output: [['waitress', 'negative'], ['table', 'neutral'], ['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 food was equally outstanding: I had the fois gras and rack of lamb, along with the Brooklyn Bridge for dessert.

Output: [['food', 'positive'], ['fois gras', 'neutral'], ['rack of lamb', 'neutral']]

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


Input: We started with some drinks on the front porch and then continued at our table with a bottle of delicious red wine.

Output: [['table', 'neutral'], ['wine', '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 also has great ice cream and spumoni ices.

Output: [['cream', 'positive'], ['ices', 'neutral']]

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


Input: The waiter's knowledge of the menu and ability to make recommendations were ridiculously bad, requests weren't observed effectively, and our water and wine glasses were not kept full.

Output: [['waiter', 'negative'], ['menu', 'neutral'], ['water and wine 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: They have Boylan's root beer, coffee that's freshly ground that day, and a relaxed casual atmosphere with friendly waitresses.

Output: [['root beer', 'neutral'], ['coffee', 'neutral'], ['ground', 'positive'], ['atmosphere', 'positive'], ['waitresses', '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 had the Margarita pizza, calamari appetizer, salmon entree and the tira misu for dessert.

Output: [['Margarita pizza', 'neutral'], ['calamari appetizer', 'neutral'], ['salmon entree', '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: On ouor visit, our reservation was ignored and then we were asked to move from our seats at the bar, where we were told to wait, because we were not drinking enough.

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

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


Input: Love the pizza here (although the slices aren't as fresh at 3am, but who's that picky when you're drunk), and there's plenty of other good stuff.

Output: [['slices', 'negative'], ['stuff', '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: These guys do not skimp on drinks or quality of food.

Output: [['drinks', 'negative'], ['quality', 'negative'], ['food', 'neutral']]

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


Input: The party space worked out well for our rehearsal dinner.

Output: [['party space', '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: The menu is informatively presented with facts about the ingredients, and is divided into Starting and Sharing plates, which allows one to sample a few items during the meal.

Output: [['menu', 'positive'], ['ingredients', '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 slow (20 minutes wait time before they came back with our drinks, not including 10 minute wait for them to take our drink order).

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: I am allergic to certain types of foods and he was very knowledgeable about the menu and brought our drinks and food very fast.

Output: [['foods', 'positive'], ['menu', '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: Atmosphere in the formal room was nice, but the informal dining room was extremely loud which ultimately made the formal room louder than my perference.

Output: [['Atmosphere', 'positive'], ['informal dining room', '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 goat cheese and sun dried tomato ravioli is great, the bread may be a little weak, but the calamari is nice.

Output: [['goat cheese', 'positive'], ['sun dried tomato ravioli', 'positive'], ['bread', 'negative'], ['calamari', 'positive']]

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


Input: The manager was very thoughtful to have the chef make me a dish not on the menu to my liking.

Output: [['manager', 'positive'], ['chef', '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: mapQuest before you go and you'll arrive early enough start off at the bar with a fabulous old school cocktail.

Output: [['bar', 'neutral'], ['school cocktail', '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 wait could be long because of the limited number of seats but it is worth it, especially if you leave your cell phone # with them and go off for a drink at any one fo the excellent bars nearby, like lokie, great lake, etc.

Output: [['wait', '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: Even though it's a trek for me to get there and the place is a little of a Hole in the wall, I've gone many times for the food alone.

Output: [['place', '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: But overall loved the place, outside of our waiter who literally tried to force us into ordering drinks.

Output: [['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: Ambiance is nice; music is CD 101.

Output: [['Ambiance', 'positive'], ['music', '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 want great Italian food, fairly price, good service, in Brooklyn, a couple of subway stops from Union Square,(where you should complain about the prices) go to Al Di La.

Output: [['Italian food', 'positive'], ['service', 'positive'], ['prices', '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 service was slow (10 minutes for drinks??)

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: The former generally succeeds quite well: Rich tarragon-scented macaroni and cheese is a big crowd-pleaser, served steaming in hefty individual casseroles; likewise the sizeable burger and herbed fries, and the dense milkshakes.

Output: [['individual casseroles', 'positive'], ['fries', 'neutral'], ['dense milkshakes', '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 Scene There are no rules at Sarge's: It's open 24/7 and serves every kind of food--from potato latkes to chicken and ribs--to every kind of customer, from businesspeople at breakfast to recuperating club kids at 4am.

Output: [['food', '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: Our waiter actually said he would check with the chef, like they might force us to share our food.

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

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


Input: Service was good, except for a very long gap between appetizers (which came out too quickly) and entree (whick took another 45 minutes to arrive).

Output: [['Service', 'positive'], ['entree', '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: Try the Phothe Broth look like soy sauce), spring rolls(can't compare any other vietnamese restaurant, Fish sauce(too much lime, Beef vermecelli ( Blanb and chewie).

Output: [['Fish sauce', 'negative'], ['Beef', '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 : A++ Service : A++ Value : A++ No other steakhouse in Manhattan can beat Ruth's Chris.

Output: [['Food', 'neutral'], ['Service', 'positive']]

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


Input: The service is more than attentive, and they also have a $10 corking fee so you can bring your own wine.

Output: [['service', '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: My greek salad cost about $9 and for that price, I would not have expected chopped olive (as opposed to whole), and shredded bits of lettuce.

Output: [['price', 'neutral'], ['chopped olive', 'negative'], ['lettuce', 'neutral']]

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


Input: since it is kinda small less than 20 tables, but room downstairs for private parties.

Output: [['tables', 'negative'], ['downstairs', '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 waited to get us water after they took our food orders, which took the waitstaff a long time to do.

Output: [['food', 'neutral'], ['waitstaff', '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 manager said that they were just starting with a preview menu.

Output: [['manager', '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 bartender virtually ignored us while we waited, took 15 minutes to get drinks.

Output: [['bartender', '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: Needless to say I will rather go spend $400 on dinner somewhere else wirh better service.

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

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


Input: Thankfully, the steak was good, but the food couldn't save the restaurant from a bad rating.

Output: [['steak', '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: Decor is simple yet functional and although the staff are not the most attentive in the world, you don't feel rushed and the food is good, hot with decent portion sizes and a good selection to suit most tastes.

Output: [['Decor', 'positive'], ['staff', 'negative'], ['food', 'positive'], ['portion', '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: Expect to get average food, a big bill and lots of attitude from the service.

Output: [['food', '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: It's in a less travelled spot on 3rd, but the intimate setting is great and romantic.

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

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


Input: Lost reservations, out of liquor, jam-packed, waiting room, out of wine, sent steak out raw, no choices for dessert, no room to breathe, terrible service, etc.

Output: [['reservations', 'negative'], ['waiting room', 'neutral'], ['steak', 'negative'], ['dessert', 'negative'], ['service', 'negative']]

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


Input: The service was lacking a bit, we waited about 20 mins for a waiter and water to come to us once we were sat and we had to ask for everything twice, even drink orders - I think maybe we just got stuck with a bad waiter though.

Output: [['service', '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: Fresh fish, tender milk fed veal and outrageous Veal Chops adorn their menu and special list.

Output: [['fish', 'positive'], ['menu', 'neutral'], ['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: They served the main course before the appetizers eventhough we asked for the latter first, to which our waiter responded that they don't serve them separately without telling us beforehand while ordering.

Output: [['appetizers', '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: Pupusas, filled with pork, beans, chicken or cheese, are sumptuous pancakes bursting with the flavor of fresh corn.

Output: [['beans', 'neutral'], ['chicken', 'neutral'], ['pancakes', '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: Chef Anthony is warm and is always fixing up something unique and tasty in the kitchen to send to your table.

Output: [['Chef', 'positive'], ['table', 'neutral']]

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


Input: Our appetizers arrived soon after, and a few minutes later were followed by our main courses.

Output: [['appetizers', '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: My reservation for 2 was during lunch and it seemed that because I was literally 2 minutes late, the hostess felt the need to seat every party before mine.

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

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


Input: The garden is lovely, too, but the staff seems a bit condescending.

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

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


Input: Customers MUST order one entre each if dining outdoors, they will not seat you unless your entire group is present (nor will they hold a table) and they make it clear that they want to turn tables.

Output: [['dining outdoors', 'neutral'], ['seat', '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: Though the wait staff was attentive, when the raw (really, not al dente) potatoes were brought to our server's attention, she listened but didn't respond.

Output: [['wait staff', 'positive'], ['potatoes', '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 loved my kimchee stew with bits of shredded pork and just enough hotness to clear the sinuses, but not kill all other flavors.

Output: [['stew', 'positive'], ['shredded pork', '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 casual atmosphere comes in handy if you want a good place to drop in and get food.

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

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


Input: When we showed up at the restaurant, the manager claimed that I made reservation for TWO instead of TEN and flat out told us we don't seat that many and refused to even apologize for the miss communication.

Output: [['manager', 'negative'], ['reservation', 'neutral'], ['communication', '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 menu offered unique options and my friends enjoyed their food, but my lentil avacado salad was not better or more interesting than the lunch counter at Saks and my John Dory was overcooked.

Output: [['menu', 'positive'], ['lentil avacado salad', 'negative'], ['lunch counter', '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 are a person who wants perfect service, you should probably skip it, you may wait for your server to sing a song before you get your drinks but that is half the fun.

Output: [['service', 'positive'], ['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: My favorite part of dinner was the Oyster Quail Egg Shooters.

Output: [['dinner', 'neutral'], ['Oyster Quail Egg Shooters', '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 bar seemed like a good place to sit and have some food as we were not even offered a table.

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

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


Input: When we proceeded to order our food, the waitress interrupted and told us that maybe we had ordered enough for now.

Output: [['food', '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: Walked in on Chinese New Year Sunday late in the afternoon, around 5 or 6 -- seating was not a problem the dim sum was deliciously fresh -- very likely a by-product of their not using carts.

Output: [['seating', 'neutral'], ['carts', '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: Never will you taste sicilian Pizza and Spumoni like LBs.

Output: [['sicilian Pizza', 'negative'], ['LBs', 'neutral']]

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


Input: Get a Big beer to wash it all down and a side of potatoes and garlic bread.

Output: [['beer', 'positive'], ['garlic 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: Do not use this place unless you want to waste your money on horrible stale cheese and food, service which takes your drinks away from the table once you've placed it on the table, waiters that eat your desert while its on the table, non working faucets in the bathroom, and overall very unporfessional service and food.

Output: [['cheese', 'negative'], ['drinks', 'neutral'], ['waiters', 'negative'], ['bathroom', '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 owner was rude to us from the moment we sat down until he told us we had to leave because he had another table waiting, and this despite ordering the pricier entrees from the menu and a bottle of wine that we hadn't yet finished.

Output: [['owner', '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: When we finally ordered our wine, the waitress brought the bottle of wine over with ONE GLASS MISSING - meaning, we'd have to wait even longer for the final glass to arrive - which were all piping hot from the dishwasher.

Output: [['waitress', 'negative'], ['bottle 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: While the drinks didn't come in large glasses and the arepas were not large in size, they had a taste about them that made you only want more.

Output: [['drinks', 'negative'], ['arepas', 'negative'], ['taste', 'neutral']]

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


Input: Don't expect trendy atmosphere: room looks like it could have been designed in 1940s, but who cares - it's actually comfortable and inviting; with great food and unbeatable value, you can't go wrong.

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

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


Input: As for price, there are plenty of Shanghai restaurants in Chinatown that are just as inexpensive with better food and without a doubt much better customer service.

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

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


Input: Also, the staff will not allow you to substitute a side dish or accommodate anything that differs from what's on the menu.

Output: [['staff', '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: Interestingly, cost only becomes truly apparent when dinner is over, as there is no menu before that presented for deserts.

Output: [['cost', '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: When one compares the quality of the food to some of the city's other italian restaurants, and then particularly when one factors in the very reasonable prices here, I feel that this restaurant comes out a winner.

Output: [['quality of the food', '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 Egg and Cheese on a bagel here is HUGE.

Output: [['Egg and Cheese', 'positive'], ['bagel', '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 first time I went, and was completely taken by the live jazz band and atmosphere, I ordered the Lobster Cobb Salad.

Output: [['live jazz band', 'positive'], ['atmosphere', 'positive'], ['Lobster Cobb Salad', '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 might have well been written in a foreign language and the wait staff didnt have a translation dictionary!

Output: [['menu', '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: My party of 8 had a seafood feast sampling Sammy's menu and we couldn't believe how great the food was.

Output: [['seafood', '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: Our server didn't have the sommelier stop by when we were trying to decide on wines, he never brought the bread we requested and didn't crack a smile the whole evening until he saw that I was paying the tab when he suddenly became nicer.

Output: [['server', 'negative'], ['wines', 'neutral']]

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


Input: But if you're looking for a fun time at a place that isnt trying so hard to be the next it place, then just hang at rice to riches instead where they actually value their patrons and dont make you wait.

Output: [['rice', 'neutral'], ['patrons', '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: our appetizers came out relatively quickly, but it was near impossible to get a hold of a waiter to order and get our drinks.

Output: [['appetizers', 'positive'], ['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: The entertainment was great they have shows that go on through out the dinner.

Output: [['entertainment', 'positive'], ['shows', '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: Portions were certainly substantial for lunch.

Output: [['Portions', 'negative'], ['lunch', 'neutral']]

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


Input: The menu of Afghani favorites includes mantoo, the spicy beef dumplings in yogurt sauce; chicken with walnuts and pomegranate juice; saffron-marinated filet mignon; grilled Cornish game hen; meat and fish kebabs in various combinations; and a number of vegetarian rice- and bean-based dishes.

Output: [['menu', 'neutral'], ['filet mignon', 'positive'], ['grilled Cornish', 'positive'], ['hen', 'positive'], ['fish kebabs', 'positive'], ['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: The restaurant has a somewhat unique decor, with portrait of the owner meditating and books about meditation.

Output: [['decor', '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: Their cappuccino's are served in a generous mug with a bit too much milk and too-sudsy foam.

Output: [['served', 'positive'], ['milk', '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 waiters do not tell you that and our large party wound up with over $100 extra food because all members thought dessert, coffee/tea were included - which they lead you to believe - and they weren't.

Output: [['waiters', 'negative'], ['dessert', 'neutral'], ['coffee/tea', '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 friends and I tried practically every strange, inventive dish on the menu, most of which are very tasty.

Output: [['dish', '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: Apple sourdough pie, and orange cake are good, as is the bundt cake with a rich chocolaty filling and the cupcakes.

Output: [['Apple sourdough pie', 'positive'], ['orange cake', 'positive'], ['bundt cake', 'neutral']]

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


Input: The food was not terrible but with the prices as high as they are, I should expect better.

Output: [['food', 'positive'], ['prices', '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 she wasn't being sarcastic or downright rude, she spent her time studiously ignoring our table or pointing us out to the other waitstaff.

Output: [['table', 'negative'], ['waitstaff', '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 worth going for, but the boys in behind the bar in the lounge are what keep me coming back!

Output: [['food', '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: For entrees, the Ground Lamb in Spicy Sauce (can't remember the name on the menu) was perfectly cooked and had just enough kick for the average person.

Output: [['Ground Lamb in Spicy Sauce', '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: why go there to deal with staffs' attitude and eat bad food?

Output: [['staffs', 'neutral'], ['attitude', 'neutral'], ['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: The owner sat with us and asked us what fish we liked and prepared an entree for each of us with an array of seafood.

Output: [['owner', 'positive'], ['fish', 'neutral'], ['entree', 'neutral'], ['seafood', '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 dinner I thanked the bartender and told him how this was the only good French food we had found in Manhattan.

Output: [['dinner', 'neutral'], ['bartender', 'positive'], ['French 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: Because its kindly sushi chief and his co-worker, it makes me want to have my dinner there all the time.

Output: [['sushi', '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: We were seated quickly (and had reservations, but they didnt seem to be absolutely necessary) and our waitress offered much insight into menu bests and worsts.

Output: [['reservations', 'neutral'], ['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: In the 20 minutes we spent waiting just for a server to take our wine order, the host of this establishment proceeded to let couple after couple walk right in in-front of us because he obviously knew them.

Output: [['server', 'neutral'], ['wine', 'neutral'], ['host', '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: B/c the dinner focused on good friends and good food, not waiting around for service or being bothered by rude staff to leave.

Output: [['food', 'positive'], ['service', 'neutral'], ['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: Then we were led downstairs to the main room, and were seated at the huge communal dining room table.

Output: [['seated', 'neutral'], ['dining room table', '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 waiter was unable to identify whether certain cheeses from the cheese course were cow or goat milk.

Output: [['waiter', 'negative'], ['cheeses', 'neutral'], ['the cheese course', '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: Some advice: have the prime rib if it is a special, try a price fix lunch or dinner because it is an exceptional value.

Output: [['prime rib', '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: I had spicy halibut with some sauces I can't remember.

Output: [['halibut', 'positive'], ['sauces', '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 ordered the Tuna a la carte and Wild Salmon and chicken breast on the Prix Fixe.

Output: [['Tuna a la carte', 'positive'], ['Wild Salmon and chicken breast', 'positive'], ['Prix Fixe', '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: great trendy spot for a night out but to be honest the food was not worth the cost.

Output: [['spot', '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: Food was fine, and the place is pretty cool, but the waitstaff was slow and pretty clueless.

Output: [['Food', 'positive'], ['place', 'positive'], ['waitstaff', 'negative']]

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


Input: Be prepared to sip the finest wines and dine on such splendid flavors as the Torellini Bottega (hand-made tortellini filled with prosciutto, veal and beef in a porcini-butter sauce -- it is to die for!

Output: [['dine', 'neutral'], ['flavors', 'positive'], ['tortellini filled with prosciutto', 'positive'], ['beef in a porcini-butter 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: The service wasn't good -- dumplings were served after we had almost finished the main courses, drinks had to be asked for three times, etc.

Output: [['service', 'negative'], ['dumplings', 'neutral'], ['served', 'negative'], ['main courses', 'neutral'], ['drinks', 'negative']]

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


Input: The staff is cool and friendly, and the place has been around since J.

Output: [['staff', '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: The service was horrendous, not only did the waiter take an hour to remember we ordered drinks, we were rushed to eat and get out so they could seat the next party.

Output: [['service', '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: There's very little on their menu if you're trying to avoid cheese and oil - not many grilled entrees at all.

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

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


Input: The food was good, but it's not worth the wait--or the lousy service.

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

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


Input: The problem was that we waited for a long time to get our waitress, we had to ask the bus boy for refills for drinks, and we waited for a long time to pay for our check.

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 waiter didn't go over the menu choices and at the end of the night we were so fed up we didn't even order dessert.

Output: [['waiter', 'negative'], ['menu choices', 'neutral'], ['dessert', 'neutral']]

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


Input: And the ambience is very cool, stop by on a Saturday afternoon and you can play some old school games while having a beer.

Output: [['ambience', 'positive'], ['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: yes as I sat at the table waiting just under 1 HOUR for my food, i was quite tempted to step across the road for a quick snack.

Output: [['table waiting', 'neutral'], ['snack', '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 waitstaff brought us so many free tapas (chilled mussels, spare ribs, chorizo, sauteed shrimp) along with our house salad and bread that we barely had room for the entrees.

Output: [['waitstaff', 'positive'], ['tapas', 'positive'], ['ribs', 'neutral'], ['house salad', 'neutral'], ['bread', 'neutral'], ['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: When we arrived there was no free table so we waited at the bar for quite a long time.

Output: [['table', '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: Our waitress (and the chef himself) helped us a bit with the Austrian cuisine where we had questions, and every recommendation was right on.

Output: [['waitress', 'positive'], ['chef', 'positive'], ['Austrian cuisine', '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 came back with the bill and money (with a calculator) and asked for more tips.

Output: [['waitress', 'negative'], ['money', '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: Classic seafood offerings include lobster tails, steamed crab legs and wild Alaskan salmon; sides, served a la carte, include baked potato and chipotle mac and cheese.

Output: [['seafood offerings', 'positive'], ['lobster tails, steamed crab legs', 'neutral'], ['wild Alaskan salmon', 'neutral'], ['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: Italian cheesecake, Cassata Al Forno and pastries you never saw in other bakeries are great.

Output: [['cheesecake', 'neutral'], ['pastries', '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: Anyway after witnessing the owner abusing some of the staff and scarfing down the college dorm made pasta we left; the momentum of the night gone we were all drained from the bad dining experience and just went home.

Output: [['owner', 'negative'], ['staff', 'neutral'], ['pasta', 'neutral'], ['dining', '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 tried getting a lunch order delivered, I was told I was out of the delivery range (strange since I am also located in the East Village).

Output: [['lunch', 'neutral'], ['delivery range', '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: FOOD WAS OK,SERVICE NOT SO OK,WAITED FOR THE CHECK WHILE OUR WAITER WAS GOSSIPPING,WAITED FOR CHANGE,WHILE OUR WAITER WAS GOSSIPPING.

Output: [['FOOD', 'positive'], ['SERVICE', 'negative']]

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


Input: big chunk of meat(beef short rib).

Output: [['chunk', 'positive'], ['beef short rib', '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 have told so many people to come here even my friend from Japan and we all love it, especially when we get the room for all of us to sit in our own little world eating tons of good sushi!

Output: [['room', 'neutral'], ['sushi', 'positive']]

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


Input: The food was good but we were dissatisfied with waiting too long for a uncomfortable table.

Output: [['food', 'positive'], ['waiting', '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 bartender informed me the place was full, and the wait was 30 minutes.

Output: [['place', 'negative'], ['wait', '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 The pan-Italian menu forgoes the appetizer-entree format in favor of fairly priced small plates, which quickly add up.

Output: [['Food', 'neutral'], ['pan-Italian menu', 'neutral'], ['priced', 'positive'], ['plates', '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']]