Input: The recipe uses shrimp with shell since they preserve the juice much better and it just made me remember my childhood at the beach in Acapulco.

Output: [['recipe uses shrimp', 'neutral'], ['juice', '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: Build your own pie--add toppings to either Ultimate Deep Dish, Crunchy Thin Crust or Classic Hand Tossed styles--or select a Feast Pizza, like the MeatZZa Feast, topped with pepperoni, ham, beef and Italian sausage.

Output: [['toppings', 'neutral'], ['Crust', 'positive'], ['Feast Pizza', 'neutral'], ['MeatZZa', 'neutral'], ['pepperoni', 'neutral'], ['ham', 'neutral'], ['beef', 'neutral'], ['Italian sausage', '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: Luckily, I made reservations for our group or else it would have been a long wait.

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

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


Input: Came recommended to us, but we found the food to be so-so, the service good, but we were told we could not order desert since the table we were at had a reservation waiting.

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

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


Input: We didn't order-the waiter just kept piling the food in front of us.

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: Denny's serves a better Grand Slam breakfast--and at a quarter of the price (I paid $21 w/o tip for b-fast--I went back a second time, because the restaurant was highly touted and I thought the first bad experience was a fluke.

Output: [['Grand Slam breakfast', 'positive'], ['price', 'neutral'], ['tip', '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 server was dutiful yet insincere, the brunch drinks above average.

Output: [['server', 'negative'], ['brunch 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: For dinner we decided to take our servers advice and order several items to share.

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

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


Input: Then the menu is all in Italian well I don't speak Italian so it took forever for the waitress to translate.

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

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


Input: The food is decent, too commercialized Italian food, and very verylarge portions, which ca end up being very expensive if you are not up for sharing and ordering wisely.

Output: [['Italian food', 'positive'], ['portions', 'positive'], ['wisely', '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: Not being familiar with Vietnamese cuisine, we found the menu descriptions very helpful.

Output: [['Vietnamese cuisine', 'neutral'], ['menu', 'positive']]

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


Input: All of the dishes we had were very good, but the fries were a little on the salty side, which we actually didn't mind.

Output: [['dishes', 'positive'], ['fries', '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 phenomenal- brought me back to Tuscany with that olive oil.

Output: [['food', 'positive'], ['olive oil', 'neutral']]

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


Input: Amazingly tasty cheese drenched in oil and soft yet crisp perfect dough, who could ask for more?

Output: [['cheese', 'positive'], ['oil', 'neutral'], ['dough', '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: Risotto's, Sushi Tuna, wasabi aioli, Steak Frite, and the Best weekend Brunch in Queens.

Output: [['Sushi Tuna', 'neutral'], ['wasabi aioli', 'neutral'], ['Steak', 'neutral'], ['Brunch', 'positive']]

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


Input: I ordered the flounder special - the fish was fresh but the dish lacked flavor.

Output: [['fish', 'positive'], ['dish', 'negative'], ['flavor', 'negative']]

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


Input: Their Korean menu was also equally impressive, A must try is the Kimchee cabbage pancakes as an appetiser ( the portions were as big as an entree!)

Output: [['pancakes', 'neutral'], ['portions', '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 told us that he had checked with the kitchen because he noticed that we had not gotten our dinners and they said it would be out shortly, shouldn't someone have said something to us?

Output: [['waiter', 'negative'], ['dinners', '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 was confused and forgot an additional soda when we asked for it.

Output: [['waiter', 'negative'], ['soda', '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 left to choose between boring salmon and chicken entres or a duck substitution.

Output: [['chicken', 'negative'], ['duck substitution', '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: Just expect to wait a good twenty minutes before they take your order (even when the restaurant is half empty), you'll have to ask at least 5 waiters and a manager for coffee before they bring it to you and when they bring your orders out wrong, expect the manager to side with the chef and not you.

Output: [['waiters', 'negative'], ['coffee', 'neutral'], ['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: It is a nice room with a cool bar and you should stop in for a drink and Tapas but dinner was very weak!!!!

Output: [['room', 'positive'], ['bar', 'positive'], ['drink', 'neutral'], ['dinner', 'negative']]

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


Input: The calamari salad was great while the lamb ribs were fat, fattier and fattiest.

Output: [['calamari salad', 'positive'], ['lamb ribs', '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: In my opinion, the bar is not very well laid out, its narrow design makes it hard to meet a group for drinks.

Output: [['bar', 'neutral'], ['design', '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: Our waiter was completely unfamiliar with the menu and did not bother to tell us that they were out of several items (even though we arrived at 7 pm on a Saturday night!)

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

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


Input: The music was a bit loud but the song selection was great, so we blew off desert and had another round of drinks at the bar.

Output: [['selection', 'positive'], ['drinks', '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: The waitress let us taste three wines before deciding (we were only ordering glasses) and then we chose to eat at the bar (same menu) since it was so comfortable.

Output: [['waitress', 'positive'], ['bar', '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: You get three courses for $20 at lunch and the amount of food is more than enough for anyone to leave feeling fully satisfied.

Output: [['courses', 'neutral'], ['lunch', 'neutral'], ['amount of 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: A+ for the food but the wait staffs need to educate themselves better.

Output: [['food', 'positive'], ['wait staffs', '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 decided to get out of there and go to a safe place with bigger portions and normal food.

Output: [['portions', '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: the wait staff looks like were doing us a favor giving us service and two loud guys at the bar made my evening with my wife quiet miserable.

Output: [['wait staff', 'negative'], ['service', '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: The tables were too close together, the food wasn't impressive, and the service was often times completely missing - waiting 45 minutes between ending dinner and being asked about dessert is not what a restaurant of this caliber should be all about.

Output: [['tables', 'negative'], ['food', 'negative'], ['service', 'negative'], ['dinner', '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: unbeknownst to the three of us, the hostess made note of the fact that i was celebrating my b-day after a member of my dinner party made a very brief reference to it as we were seated.

Output: [['hostess', '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: Enjoy the food, because it is remarkable, but don't be too willing to be gratuitis to a server that does not deserve it.

Output: [['food', '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: Clams, shrimp, mussels, scungilli, and calamari served together in a spicy red sauce atop linguine are full of flavor; steak pizzaiola, a heroic portion of tender beef in a pool of garlicky marinara, comes with a side of spaghetti.

Output: [['Clams', 'neutral'], ['shrimp', 'neutral'], ['mussels', 'neutral'], ['scungilli', 'neutral'], ['calamari served', 'neutral'], ['spicy red sauce atop linguine', 'neutral'], ['flavor', 'positive'], ['steak', 'neutral'], ['portion of tender beef', 'neutral'], ['spaghetti', '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 sucked--we didn't get bread, our eggs were cold, and their brunch prix fix does not include an alcoholic drink.

Output: [['bread', 'negative'], ['brunch prix', '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: When a meal starts with bad bread, you know you're in for a long night.

Output: [['meal', 'neutral'], ['bread', 'negative'], ['night', '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: Most dishes are smothered in melted cheese or merely mediocre; flan is flat and pedestrian, drenched in tasteless sugar syrup; and even its supposedly best feature - the margarita - is a hit-or-miss affair.

Output: [['dishes', 'negative'], ['cheese', 'negative'], ['flan', 'negative'], ['sugar', 'negative'], ['margarita', 'neutral']]

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


Input: It appears to be a charming french outdoor bistro, and the food wasn't bad, but the waiters were clearly tired of dealing with tourists, and didn't handle us with care.

Output: [['french outdoor bistro', 'positive'], ['waiters', '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 felt the chef was using truffles too much just to cover up mediocre food.

Output: [['chef', 'negative'], ['truffles', '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: To finish, the cost of the dinner was over-priced.

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: In Short The few window-front tables fill quickly, but most customers prefer not to linger in the nondescript space, in favor of taking their Thai food to go, or phoning in for delivery.

Output: [['window-front tables', '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: On the top of everything at the end of the dinner the waiter gave us the wrong check.

Output: [['dinner', 'neutral'], ['waiter', 'negative'], ['check', '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: However, you don't even really need the menu, because the daily specials are always tempting and delicious.

Output: [['menu', 'neutral'], ['daily specials', 'positive']]

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


Input: In other words, conserative types craving simpler things like grilled chicken or salmon probably would not appreciate Tabla's distinctive and unusual menu.

Output: [['salmon', 'neutral'], ['menu', '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 were very friendly, the prices were relatively average, not bad, and the food was great.

Output: [['staff', 'positive'], ['prices', '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: It is expensice, but the portions are big and include a side, salad, nan and rice along with your main meal!

Output: [['portions', 'positive'], ['salad', 'neutral'], ['nan', 'neutral'], ['rice', '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 dining there twice, all the waiters will remember you and what you ordered the last time you were there!

Output: [['dining', 'neutral'], ['waiters', 'positive']]

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


Input: Comfort standbys--including bacon-wrapped meat loaf and barbecued ribs, and upscaled interpretations--like tuna club made with wasabi mayo, share space with brunch favorites (Belgian waffles, fluffy buttermilk pancakes and wrecked eggs, or tofu).

Output: [['Comfort', 'positive'], ['barbecued ribs', 'neutral'], ['interpretations', 'neutral'], ['wasabi mayo', 'neutral']]

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


Input: It might be the best sit down food I've had in the area, so if you are going to the upright citizen brigade, or the garden, it could be just the place for you.

Output: [['food', 'positive'], ['garden', '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 Unpolished but cozy, with red walls, arty sconces and deep, comfortable booths, Raga calls little attention to itself.

Output: [['Scene', 'positive'], ['walls', 'neutral']]

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


Input: This is the place to come for coffee and dessert; they have an enormous and decadent selection of cakes, pies, and other things involving chocolate.

Output: [['coffee', 'positive'], ['dessert', 'positive'], ['selection of cakes', 'positive'], ['pies', 'neutral'], ['chocolate', '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 is a bit slow, but harkens back to my years growing up in Napoli, Italy where things are not rushed and when you sit down for dinner the table is yours all night.

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

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


Input: The atmosphere is bland and non-descript and the service is fine.

Output: [['atmosphere', 'negative'], ['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 Scene Tucked away on the second floor of a small, nondescript Madison Avenue building, Caviar Russe feels more like a private club than a restaurant.

Output: [['Scene', 'negative'], ['Caviar', '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, the waiter was a little flip, but we can deal with that.

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

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


Input: Meals generally begin in a pub-food vein, with appetizers like featherweight, perfectly salted fried clams and brown sugar-lacquered ribs that are good enough to take on any barbecue joint in the city.

Output: [['Meals', 'neutral'], ['appetizers', 'positive'], ['salted fried clams', 'positive'], ['brown sugar-lacquered ribs', '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: Waiter ignored us, never asked if we needed anything, never received a dessert menu or asked if we wanted coffee, or even the check.

Output: [['Waiter', 'negative'], ['dessert menu', 'neutral'], ['coffee', 'neutral'], ['check', '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 someone from our table of 5 asked the waitress for refill on water, she comes back and fills only that person's glass, leaving the rest of the table with almost empty glasses.

Output: [['waitress', 'negative'], ['water', 'neutral'], ['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 last three times I've called (in addition to asking me to wait for a long time before taking my order), they've given me grief about asking for delivery even though my address is clearly within the map printed on the menu, just because the delivery guy gets mad if he has to go out of his way.

Output: [['menu', 'neutral'], ['delivery guy', '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 is mediocre, except for Mushroom Custard and Foie Gras in Fire Ice.

Output: [['Food', 'negative'], ['Mushroom Custard', '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 prices did not reflect the quality of the meal.

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

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


Input: Among the entrees, choose the stellar mole--deep, thick and chocolatey--blanketing tender chicken or poured over a chicken enchilada rather than the dry arroz con pollo.

Output: [['entrees', 'neutral'], ['stellar mole', 'positive']]

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


Input: When the food came, it was almost good, but the lack of AC, bad service, and overall apathetic staff, from the HOST, to the MANAGER to the WAITER, ruined the experience.

Output: [['food', 'positive'], ['service', 'negative'], ['staff', 'negative'], ['HOST', '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: A few years ago I would have rated it much higher, but now - with other better choices such as Candle Cafe, Good Health Cafe and others, the dated menu, crowded atmosphere are spacey service is not the greatest choice.

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

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


Input: I think they just tried to get a little too creative with the menu and actually ended up losing flavor in some of the dishes.

Output: [['menu', 'neutral'], ['flavor', 'negative'], ['dishes', 'neutral']]

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


Input: The place looks like the inside of a factory, with its steel drums, over-amped A/C and hard wooden benches, and the industrial decor seeps into overly streamlined menu and passionless food.

Output: [['menu', '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: When I requested a specific beer on the menu, the waiter said they were all out of that one and kept pushing the only available beer, which I didn't want.

Output: [['menu', '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: About the food we had a little difilculty keeping the orders straight ,the menu has too many choices,but the server was very helpul and suggested de paella valenciana which was extremele delicious.

Output: [['menu', 'neutral'], ['server', '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: Mixed drinks were Casino Quality we weren't sure if the sides on our tables were left from the previous diners, but when our steaks (Only one choice on the menu) arrived.

Output: [['Mixed drinks', 'neutral'], ['sides on', 'neutral'], ['tables', 'neutral'], ['diners', 'negative'], ['steaks', '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 Kitchen is only separated from its patrons by glass is immaculate and the service is undeniable heartfelt.

Output: [['Kitchen', '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 food came cold and a sauce that came with one of the dishes had developed a skin.

Output: [['food', 'negative'], ['sauce', 'negative'], ['dishes', 'neutral']]

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


Input: WHile the seafood by the pound was the freshest I've had in a while, I was pleasantly surprized at the other entrees available on the menu-- Delightfully presented!

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

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


Input: The spacious bar, with its own menu of small plates and a lengthy list of wines by the glass, is a boon to single diners.

Output: [['menu', 'neutral'], ['plates', 'neutral'], ['wines by the glass', '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: Specials are likely to encompass such exotica as wild Scottish venison and free-range Australian lamb, or seasonal items like springtime's Hudson River shad roe.

Output: [['Specials', 'neutral'], ['lamb', 'neutral'], ['items', '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: Yellowtail tuna carpaccio, lightly dressed with a hint of mint, sings of summer, and crab salad partnered with sweet-hot mango mustard and greens hits all the right flavor notes.

Output: [['Yellowtail tuna carpaccio', 'neutral'], ['hint', 'neutral'], ['mint', 'neutral'], ['crab salad partnered with sweet-hot mango mustard', 'neutral'], ['greens', 'neutral'], ['flavor notes', '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 a meal I could find anywhere else in the city for a better price.

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

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


Input: Overall,it's a good place to have dinner and hang out if you do not mind waiting for food,weird music and rude manager.

Output: [['dinner', 'neutral'], ['waiting', 'neutral'], ['music', '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: Service was unbelievably on target down to the smallest detail; our waiter invited us to sample a new desert under consideration for their menu and a new line of ice wines.

Output: [['Service', 'positive'], ['waiter', 'positive'], ['menu', 'neutral'], ['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: And for families they have high chairs and waiters were really nice to my kid.

Output: [['chairs', 'neutral'], ['waiters', 'positive']]

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


Input: Once seated we were greeted by a very rude waiter who threw menus at us and then snatched them away as we were ordering.

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

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


Input: A regular Japanese menu is available for those who would like to experience traditional Japanese cuisine.

Output: [['Japanese menu', 'neutral'], ['Japanese cuisine', 'positive']]

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


Input: There are 1 or 2 vegetarian dishes, but the sides platter has a bit of everything, so you get the full flavor of Latin American food.

Output: [['vegetarian dishes', 'neutral'], ['Latin American food', 'positive']]

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


Input: I had blackened salmon and my fiance had chicken marsala.

Output: [['salmon', 'positive'], ['chicken marsala', '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: Drinks took a while, and after a few rounds pf the we're sorry, we don't have this bottle sir routine.

Output: [['Drinks', 'neutral'], ['sir routine', '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 mean the place was empty and it seemed to take for ever to get food, drink or the check.

Output: [['place', 'positive'], ['food', 'negative'], ['drink', '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 journey may be long and the wait may be longer, but there is nothing that could keep me from this pizza.

Output: [['wait', 'negative'], ['pizza', 'positive']]

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


Input: Our waiter was pretty much non-existent and when he did come to our table he practically tossed our plates and wine glasses in front of us.

Output: [['waiter', 'negative'], ['table', 'neutral'], ['plates', '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 environment is still fun and diverse, the food quality has been sliding lately.

Output: [['environment', 'positive'], ['food quality', 'negative']]

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


Input: Our waiter said 3 words to us, wisked away our food as we were finishing, and the maitre'd could not take his eyes off our table waiting for us to leave.

Output: [['waiter', 'negative'], ['food', 'negative'], ['maitre', 'negative'], ['table waiting', 'neutral']]

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


Input: Its definitely recommended to make a reservation on the weekends, since its difficult to walk-in and get a table.

Output: [['reservation', 'neutral'], ['table', '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 pretty good, but a little flavorless and the portions very small, including dessert.

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

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


Input: The food and decor is above average, but it is clear the restaurant has bad management and service.

Output: [['food', 'positive'], ['decor', 'positive'], ['management', '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: One of my favorite places to get a cup of tea or to have a casual brunch with the newspaper.

Output: [['cup of tea', 'neutral'], ['brunch', 'neutral'], ['places', 'positive']]

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


Input: There were three parties of two standing in the front entrance looking like bumbling idiots while not a single host, waiter, or manager attended to us.

Output: [['host', 'negative'], ['waiter', 'negative'], ['parties', 'neutral']]

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


Input: One of my friends told them it was my birthday and the staff relally surprised me when their came to me singing with the mexican hats and a dessert with a candle on it.

Output: [['staff', 'positive'], ['mexican', '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 not good with using chopsticks and asked for a fork, instead the owner insisted that I try using a chopstick an made me an easy-to-use chop stick right there on the spot!

Output: [['chopsticks', 'neutral'], ['owner', 'positive']]

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


Input: If you want to have fresh grill fish served just with virgin olive oil and lemon Telly's Taverna is the place for you.

Output: [['grill fish served', 'positive'], ['virgin olive oil', 'neutral']]

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


Input: After asking several different people find our waiter, he returned to say he couldn't find any wine and begged us to order sake instead.

Output: [['waiter', '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: In addition, they lack basic ammenities like a toaster, and the decor was shabby, at best.

Output: [['toaster', 'neutral'], ['decor', '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 table next to us recommended that share because the portions are big(we split two entrees)The food was so good I wish that there was some left over to take home for the next day.

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

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


Input: so back to the Napoleon was pretty yamie but over deep fried.

Output: [['Napoleon', 'positive'], ['fried', '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 walks around barking at his employees every chance he gets, and makes everyone----customers and staff----nervous.

Output: [['owner', 'negative'], ['employees', '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: This is not haute cuisine, but that' part of what I love about it - it has an honest, intimate feel with no pretensions, just like eating in an Italian family's home.

Output: [['cuisine', 'negative'], ['feel', '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 hostess was snooty since we did not have a reservation but the rest of the dining experience amply made up for it.

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

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


Input: The hostess had us wait in the bar while our table was set up and we ordered what had to be the best mojitos in the city.

Output: [['hostess', 'neutral'], ['bar', 'neutral'], ['mojitos', '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 problem is that if you want anything to continue the meal, if you need an extra minute to go over the menu, or if, horrors, you want the check, you might be in for a lengthy wait.

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

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


Input: I have never tried anything else on the menu the burgers are so good.

Output: [['menu', 'neutral'], ['burgers', '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 shrimp and lobster bisques are very good, but serverd in styrofoam cups which will affect the taste if not eaten quickly.

Output: [['shrimp and lobster bisques', 'positive'], ['taste', '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 hostess told me she could accomodate my group without a reservation but we ended up waiting nearly an hour and were seated in the smallest cramped area.

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

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


Input: From soups (love the pumpkin corn bisque), to sandwiches (gilled cheese is my favorite), to the hot food that's mostly asian influenced, and salads that even include seared tuna, there's something for everyone.

Output: [['pumpkin corn bisque', 'positive'], ['sandwiches', 'neutral'], ['hot food', 'neutral'], ['salads', 'neutral'], ['tuna', '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 portions are not huge, but they do include an alcoholic beverage or fresh juice, so that made up for it.

Output: [['portions', 'negative'], ['fresh juice', '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: Got a table during restaurant week for lunch and the service was cordial, if slower than usual.

Output: [['lunch', '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: But despite that our dinner took far too long to be served.

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

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


Input: We were here for lunch and were seated promptly in the bright, comfortable dining room.

Output: [['lunch', 'neutral'], ['seated', 'positive']]

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


Input: Service: Below Average, the staff joked stood around in the dinning room joking around with each other.

Output: [['Service', 'negative'], ['staff', 'negative'], ['room', 'neutral']]

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


Input: The food is great and I found it to be fresh and the prices are below to average compared to other Greek Restaurants.

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: The waitress was slow and had to ask the kitchen first every time we asked her about anything on the menu.

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

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


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

Output: [['place', 'positive'], ['menu', 'positive'], ['twist', '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 baked goods are all pretty good, though the bagels are a touch stale and dry.

Output: [['baked goods', 'positive'], ['bagels', '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 guacamole was below average compared to any other decent Mexican restaurant.

Output: [['guacamole', 'negative'], ['Mexican restaurant', '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 never came back to check on us or refill coffee, he got one of the orders wrong, and we both left wondering what we were going to eat when we got home.

Output: [['waiter', 'negative'], ['coffee', '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 making reservations 1 month ahead, they sent us to the bar when we arrived, you know to get you out some extra bucks because they had available tables at the moment.

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

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


Input: Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese.

Output: [['Caesar Salad', 'positive'], ['arugula', 'neutral'], ['goat cheese', 'neutral']]

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


Input: Wish the Greenwich street location had more seating like their 2nd Ave location, because one invariably leaves it smelling of grease.

Output: [['seating', 'positive'], ['grease', '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: On the menu says Free delivery (Minimun order $10) but I was charged a couple of dollars on both opportunities.

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

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


Input: I got fed up waiting that I went to get the check and paid for it at the counter where my waitor was busy flirting with the cashier.

Output: [['waiting', 'negative'], ['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: The four of us were seated in the outdoors patio(not requested) and suffered through a muddled menu, indifferent food, a below average waiter, as well as excessive noise, wind and cold.

Output: [['menu', 'negative'], ['waiter', 'negative'], ['noise', 'negative'], ['outdoors patio', '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: Overall, cute place with poor service, and even worse food.

Output: [['place', 'positive'], ['food', '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 decor is like a brasserie and has a fairly laid-back atmosphere.

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

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


Input: The SUM IT: Dim sum standard fair, noodles ok, other dishes ok.

Output: [['Dim sum', 'neutral'], ['noodles', '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 only thing I didn't like was the bread that came to the table before dinner.

Output: [['bread', 'negative'], ['table', 'neutral'], ['dinner', 'neutral']]

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


Input: Beautifull people, and a dj that was making me just want to stay and drink more!

Output: [['dj', 'positive'], ['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 Dinner seating scheme is unintelligible with many tables left empty while guests and servers jab and jostle in the narrow entrance; most of the former not informed of the restaurant policy that allows you to place your name on the dinner list and then return hours later to claim your reservation.

Output: [['Dinner seating', 'negative'], ['servers', 'negative'], ['dinner list', 'neutral'], ['reservation', 'neutral']]

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


Input: The owners Pat and John are very friendly and can often sit and have a beer with you.

Output: [['owners Pat', '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: I had the first pasta listed on the menu and it left me craving the taste again for days after.

Output: [['pasta', '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: Coffee served without sugar/milk and took more than 10 min to catch the waiter to ask for it.

Output: [['Coffee served', '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 host greeted us warmly and eagerly and the wait staff was just as receptive.

Output: [['host', 'positive'], ['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: Despite almost flawless service, I had my birthday there for a party of 15 and we were given a private area on the top floor, which was so cold, we had to keep our jackets on throughout the entire meal.

Output: [['service', 'negative'], ['private area', 'negative'], ['floor', 'neutral'], ['meal', 'neutral']]

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


Input: I had dinner here with a few friends recently, and while I must admit that the food and service was okay, the prices simply did not match the environment and cuisine.

Output: [['dinner', 'neutral'], ['food', 'positive'], ['service', 'positive'], ['prices', 'negative'], ['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: (they should if you are willing to spend $400 on dinner) if the owner of this restaurant saw how the staff was acting he would fire ALL of them.

Output: [['dinner', 'neutral'], ['owner', '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: while I think the menu could use better appetizers all of the main courses are DELICIOUS- also the service is so much better than the ratings.

Output: [['menu', 'neutral'], ['appetizers', 'neutral'], ['ratings', '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']]