Input: Every time I go I order the eggs benedict which comes with home fries and an alcoholic beverage.

Output: [['eggs benedict', 'positive'], ['beverage', 'neutral']]

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


Input: Although the service was top notch, all of the food was disappointing: burnt octopus, bland ravioli, odd tasting mint love letters.

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

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


Input: The only downside was our waitress -- she forgot to order one of our side dishes, was not attentive, and then gave us our check before we finished our bottle of wine.

Output: [['waitress', 'negative'], ['side dishes', 'neutral'], ['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: We didn't have reservations, and showing up at 8:45 we were told it would be about an hour 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: The food ranges from okay to delicious and the service varies from great to poor.

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

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


Input: For breakfast there are a wide variety of whole grain pancakes; pumpkin is my favorite, blueberry second!

Output: [['breakfast', 'neutral'], ['grain pancakes', '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 first time we went there had been a party of 10 that was just seated and the rest of the tables were all full, so we decided to take the drinks to go.

Output: [['tables', '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: But then there's the sluggish and absentminded service: twice someone tried to serve us something for another table and it took a long time to get our check.

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

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


Input: Karl the Bar Manager makes yummy special drinks for each season be sure to check out what's on his drink menu when you stop in.

Output: [['Bar Manager', 'neutral'], ['special drinks', 'positive'], ['drink 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: For the main course, he ordered the Hong Kong XO shrimp, nothing more than shrimp with brown sauce and I ordered the yellowfin tuna, which was tasteless.

Output: [['main course', 'neutral'], ['shrimp with brown sauce', 'negative']]

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


Input: Cozy atmosphere, good food and service, good place to meet friends for dinner and a drink.

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

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


Input: For the price and quality of the food we got, I would not dine here again.

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

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


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

Output: [['ambience', 'positive'], ['service', 'positive'], ['price', 'neutral'], ['drinks', 'neutral'], ['hsared dessert', 'neutral']]

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


Input: the staff there was really freindly the owner even sat down at one point to chat with us, it was hard to chose from the menu it all sounded good, so my wife and i shared plates to try a little of each dish , we ordered.

Output: [['owner', '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: We waited in the bar area and had an excellent time waiting for dinner with the bartender and staff.

Output: [['bar area', 'neutral'], ['dinner', 'neutral'], ['staff', 'positive'], ['time', '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: Each appetizer was a success: lobster bisque, fried clams, scallops.

Output: [['appetizer', 'positive'], ['lobster bisque', 'neutral']]

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


Input: The food was good but for the prices, it was definitely not worth it.

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: We ordered the recommended dessert ahead of time as they suggested but when it came time for it, the waiter had forgotten it.

Output: [['dessert', '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 steak, duck and soft shell crab are musts for dinner and almost every side dish was great.

Output: [['steak', 'positive'], ['duck', 'positive'], ['soft shell crab', 'positive'], ['dinner', 'neutral'], ['dish', '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 has a large salad bar, many side dishes, soups, fruits, bread, crab legs and sushi.

Output: [['salad bar', 'positive'], ['side dishes', 'positive'], ['soups', 'neutral'], ['fruits', 'neutral'], ['bread', 'neutral'], ['sushi', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 Pizzas are Neapolitan-style--thin, made with San Marzano tomatoes in a 700-degree wood-burning oven, and loaded with Mediterranean goodies.

Output: [['Food Pizzas', 'positive'], ['Mediterranean goodies', 'neutral']]

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


Input: Really great thin crust pizza - hot and fresh and fast, though you'll probably have to wait for a table.

Output: [['crust pizza', 'positive'], ['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: At the end of the meal, I politely asked the waitress whether she would comp something, and she said yes.

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

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


Input: It was Au Bar meets 'Absolutely Fabulous' meets a Versace Outlet Sale.

Output: [['Bar', 'neutral'], ['Sale', 'positive']]

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


Input: When we ordered our Margaritas, the waiter said $10, so we gave him a 20 and waited, and when he didn't give us our change, we asked and he said - Happy Hour's over, they're $10 each.

Output: [['Margaritas', '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: It is now nothing but an overpriced establishment that is shamelessly riding on the coat tails of its past.

Output: [['establishment', 'negative'], ['coat tails', 'neutral']]

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


Input: But the food here is excellant and there are just too many appetizers (in the traditional custom of Korean restaurants) to sample.

Output: [['food', 'positive'], ['appetizers', 'positive'], ['custom', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 us still had wine, so the others tried to order dessert drinks, but the owner told us no because there were people waiting and the waiter said if he served us more he would be fired.

Output: [['wine', 'neutral'], ['dessert drinks', 'neutral'], ['owner', 'negative'], ['waiting', 'neutral'], ['waiter', 'negative'], ['served', 'neutral']]

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


Input: Went for restaurant week and surprisingly on the menu were entree options of Mahi, Mahi, Kobe Beef ribs, Salmon and some other things in very reasonable portions.

Output: [['menu', 'neutral'], ['entree options of Mahi', 'neutral'], ['Kobe Beef ribs', '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: I have tried everything available on the AYCE menu, it has all been quite good (although I am not one to be especially particular with food, sushi in particular.

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

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


Input: as of late though(maybe change of ownership)the food quality dropped with the menu change and the service got worse.

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

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


Input: Spring roll did not taste very fresh, soup ok but only had 2 shrimps.

Output: [['Spring roll', 'negative'], ['soup', 'positive'], ['shrimps', '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: Overall, reasonable food for price for Pre-fixe dinner (got salad, entree and dessert for 20 dollars a person).

Output: [['food', 'positive'], ['price', 'positive'], ['Pre-fixe dinner', 'neutral'], ['salad', '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: The brief list of desserts includes a rich chocolate marquise and a lemony banana-cream pie.

Output: [['list', 'positive'], ['desserts', 'neutral'], ['pie', 'positive']]

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


Input: I was accompanied by foodies, yet the waiter treated the few questions people had about the menu as if he was dealing with diners who had never eaten at a decent restaurant.

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

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


Input: We sat way before 2 other tables ahead of us that rec'd their appetizers before us; the waiter neglected to apologize.

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

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


Input: fish was fresh enough, but the quality was only so-so (the salmon was especially sinewy).

Output: [['fish', 'positive'], ['quality', 'negative'], ['salmon', '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: Thankfully, a succinct menu leaves little to ponder--and, despite the high churn, burgers always arrive as specified.

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 place is small, or at lease it felt that way b/c tables were right on top of each other.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 Mi Nidito's menu offers a considerable array of Mexican standards, with a separate page for seafood, such as King crab enchiladas, and another for vegetarian dishes such as almond-sauteed vegetables.

Output: [['menu', 'neutral'], ['array', 'positive'], ['seafood', 'neutral'], ['vegetables', 'neutral']]

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


Input: Our waitress had a French accent and her caring and knowledgeable attitude she discplayed with each table led us to beleive she was the owner.

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

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


Input: The service was average - the waiter did not check in on our meals and did not even refill the water, but was a bit pushy on desert (we both ordered schnapps).

Output: [['service', 'negative'], ['waiter', 'negative'], ['water', 'neutral']]

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


Input: While certain staples are excellent (the burger, some of the pastas), the food is not really the point.

Output: [['staples', 'positive'], ['burger', 'positive'], ['pastas', 'positive'], ['food', 'negative']]

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


Input: We were a large party, over 6 people, and after our initial drinks, which included a couple bottles of wine, and order were taken we did not see a waiter or a busboy again for over an hour!!

Output: [['initial drinks', 'neutral'], ['waiter', 'negative'], ['busboy', '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 was courteous and knew the menu well, though he was a little pushy with the bottles of wine.

Output: [['waiter', 'positive'], ['menu', 'positive'], ['bottles of wine', 'neutral']]

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


Input: After 45 mins of waiting in an sans air conditioned bar, we grew tired of paying for over-priced drinks.

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

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


Input: The best dish is not listed on their menu - it is a special - the flat pasta with truffle mushroom sauce.

Output: [['dish', 'positive'], ['menu', 'neutral'], ['flat pasta with truffle mushroom sauce', 'positive']]

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


Input: Never heard anything about a minimum required food order of $30 or had any bad experiences with the staff.

Output: [['food', '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: Long wait for our meal (approx 30 minutes), unusual slow service, waitresses (especially the preety one with black hair) louder thn clients, do not care much for customers.

Output: [['meal', 'neutral'], ['service', 'negative'], ['waitresses', 'negative']]

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


Input: The only cuisines that will provide comparable quality in the vicinity are Greek (if you know where to look) and Pizza.

Output: [['vicinity', 'neutral'], ['Pizza', 'positive']]

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


Input: I defy anyone to tell me where else you can cut the steak with your fork, it practically melts in your mouth- and the sides are amazing.

Output: [['steak', 'neutral'], ['fork', 'neutral'], ['sides', 'positive']]

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


Input: my personal favorite is the meat pie (which uses meat sauce instead of regular marinara sauce).

Output: [['meat pie', 'positive'], ['meat sauce', 'neutral']]

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


Input: The only failing was the persian tea, that I'm used to being sweetened with honey.

Output: [['persian tea', 'negative'], ['honey', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 don't claim that the place as the most authentic, but when you're talking about Southeast Asian street food, which really represents a melting pot of cultures and have slight variation in style for many similarly-named dishes depending where yuo're specifically from, who's to claim what's authentic?

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

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


Input: My friends and I went to dinner last weekend and had a great time.

Output: [['dinner', 'neutral'], ['time', '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: Avoid this restaurant on a busy night at all costs -- they have yet to learn how to make the appropriate number of reservations; the front of the house and the managers are amateurs.

Output: [['reservations', 'neutral'], ['managers', '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 spending upwards of $200 for dinner for two, I expect better service.

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

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


Input: MeetLESS gives you a dance club w/o the dance floor a restaurant w/ horrendous service and limited menu selections (the ONLY steak is a top sirloin?!!!)

Output: [['club', 'neutral'], ['service', 'positive'], ['menu', 'neutral'], ['steak', 'neutral']]

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


Input: Appetizers, such as sweet grilled scallops with butter, and mouthwatering grilled yellowtail collar, are mostly excellent, though some, like mushrooms stuffed with bland poached fish, fall flat.

Output: [['mushrooms', 'neutral'], ['poached fish', 'negative'], ['flat', 'negative']]

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


Input: You can't go wrong with this spicy sausage, better than the chicken or beef which would be much better if it were seared rather than limply fried on the skillet.

Output: [['chicken', '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 Food The Portuguese knack for exploration couldn't be more apparent on the expansive menu, which moves beyond classics like bacalhau to encompass a world of former colonies along with the motherland.

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

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


Input: I would recommend the Risotto with pear and spinach, the lasagna, and the salads.

Output: [['Risotto', 'positive'], ['spinach', 'neutral']]

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


Input: Delicious appetizers and entrees, our server recommended a wonderful bottle of wine, and we couldn't resist dessert.

Output: [['appetizers', 'positive'], ['entrees', 'positive'], ['server', 'neutral'], ['bottle of wine', 'positive'], ['dessert', 'positive']]

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


Input: My only complaint is that the place is over crowded on weekends, but that's the price you pay for having such great food.

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

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


Input: The entree menu is not diverse, but the items on it are all very good.

Output: [['entree menu', 'negative'], ['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: So I go into the bar, and I ask the (extremely hot) waitress, what's the soup of the day?

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

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


Input: Each week, Zutto's sushi chef never ceases to amaze me with new concoctions.

Output: [['sushi chef', 'negative'], ['concoctions', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 dessert, there's sublime cheesecake.

Output: [['dessert', 'neutral'], ['cheesecake', 'positive']]

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


Input: The place was busy, but the comfortable banquets and friendly service made me not mind waiting a little extra while for my food to come out.

Output: [['place', 'positive'], ['banquets', 'positive'], ['service', 'positive'], ['waiting', '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: It might be a good place to have a drink, but not for food.

Output: [['drink', '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: We went there on New Year's Day around 7 pm without a reservation and were able to get a table right away thanks to the very accomodating hostess.

Output: [['reservation', 'neutral'], ['hostess', '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: Kid faves include grilled cheese and, quite possibly, the biggest peanut butter and jelly sandwich in New York City.

Output: [['grilled cheese', 'neutral'], ['peanut butter and jelly sandwich', 'positive']]

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


Input: Since then, he cannot get enough of their salmon roll, and spicy tuna roll.

Output: [['salmon roll', 'neutral'], ['tuna roll', 'positive']]

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


Input: the waitress was probably new, because she had no idea what wine they had, or if they had a certain type by the glass or bottle, and kept going back to the bar to find out.

Output: [['waitress', 'negative'], ['wine', 'neutral'], ['glass', 'neutral']]

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


Input: I would love the owner to consider hosting a 'tango bar' once - twice a week.

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

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


Input: For the price I paid for a cup of Bustelo coffee w/ milk I could buy 2 vacumed packs for 3 bucks.

Output: [['price', 'negative'], ['cup', 'neutral'], ['Bustelo 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: Everything from the little tastes prepared by the kitchen to the main course to dessert was outstanding and the beauty of the restaurant makes it that much nicer.

Output: [['main course', 'neutral'], ['dessert', 'positive']]

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


Input: Our waitress was so helpful with the wine list.

Output: [['waitress', 'positive'], ['wine list', 'neutral']]

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


Input: The menu, fortunately, matches the other locations, covering the basics of Ethiopian cooking, and includes sambosas, kifto (chopped beef often served raw), tibs (lamb sauteed with rosemary), and, of course, injera, the spongy bread that doubles as a utensil.

Output: [['menu', 'neutral'], ['sambosas', 'neutral'], ['bread', 'positive']]

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


Input: Staff wouldn't take no for an answer on pitchers of sangria.

Output: [['Staff', 'negative'], ['sangria', 'neutral']]

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


Input: They brought fresh naan to the table as well as a kind of crepe filled with potatoes that was cooked on a griddle set up by the window.

Output: [['naan', 'positive'], ['crepe filled with potatoes', 'neutral'], ['window', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 honestly do not understand how anyone can not love this place, unless they don't like real pizza.

Output: [['place', 'positive'], ['pizza', '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: Make a reservation, and if possible grab a seat outside, even on cool days the heat torches work great.

Output: [['reservation', 'neutral'], ['seat', 'neutral'], ['heat', '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 space is small and reservations are definitly needed.

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

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


Input: It is a small restaurant so without reservations, there can be 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: Even if you hate beets, try the beet ravioli- you will not be disappointed!

Output: [['beets', 'negative'], ['beet ravioli', '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 roughly $10-12 one can get themselves a healthy burger decked with toppings, fries, and a drink, a meal that makes the neighboring fast food places look inferior.

Output: [['burger', 'positive'], ['drink', 'neutral'], ['food', 'neutral']]

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


Input: Po has the best food in NY, if you don't mind a wait.

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

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


Input: I'm not a drinker, and I find that the waiters usually blow us off and ignore us once we don't spend a lot of money ordering wine, and the water takes a while to get re-filled, but the food is good enough that we return.

Output: [['wine', '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: No condiments on table or offered, service average, smokey upon arrival as the kitchen is fully exposed and the space very tight.

Output: [['condiments', 'neutral'], ['kitchen', 'negative'], ['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: After finishing your meal, you can drop by their natural food market next door for organic all natural grocery.

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

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


Input: The waiters didn't clean it up until they brought our dessert.

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

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


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

Output: [['bar', 'neutral'], ['blue oceanic', '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: Went with three people last saturday night - half way through our entrees we tried to order a second bottle of wine - both the hostess and waitress told us no, cause, ehh, the place is very crowded this night guys.

Output: [['entrees', 'neutral'], ['bottle of wine', 'neutral'], ['hostess', 'negative'], ['waitress', 'negative'], ['place', 'negative']]

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


Input: If you eat here, just keep in mind that the specials are much higher than the regular menu when ordering.

Output: [['specials', '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: The regular entrees and desserts here are excellent, with truly unusual sides and garnishes that make for brilliant flavor combinations with the central meat or fish.

Output: [['entrees', 'positive'], ['desserts', 'positive'], ['sides', 'positive'], ['flavor', 'positive'], ['central meat', 'neutral'], ['fish', 'neutral']]

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


Input: True, the service is hardly on par with the finer restaurants in NYC, but I go for the energy and the tasty tapas-like seafood treats that are perfect with beer or sake.

Output: [['service', 'negative'], ['tapas-like seafood treats', 'positive'], ['beer', 'positive'], ['sake', '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 is no service at this bar, which means no drinks or food -- ultimately leading to a very frustrating night out, and you end up kicking yourself for not leaving an hour earlier.

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

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


Input: Hostess finally brought it, saying if we wanted dessert, we could move to another table.

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

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


Input: The bill was surprisingly inexpensive considering we each had appetizers, an entree, dessert and drinks (alcoholic and non) we also had 3 rounds of shots for the entire table.

Output: [['appetizers', 'neutral'], ['dessert', 'neutral'], ['alcoholic', 'neutral'], ['bill', 'positive'], ['table', 'neutral']]

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


Input: You get plenty of food for the price, enough leftovers for lunch and they actually serve garlic chicken with lots of chicken and chinese vegetables.

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

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


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

Output: [['drinks', 'neutral'], ['water', 'neutral'], ['dressing', '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: I am not sure if this was just an off night or what, our waiter forgot wine, brought us desert menus before dinner came, then brought us the wrong dinner.

Output: [['waiter', 'negative'], ['wine', 'neutral'], ['desert 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: From the opera playing in the background, to Emilio, the owner wishing everyone a good meal, this should be the highest rated Italian restaurant in the city.

Output: [['background', 'neutral'], ['owner', 'positive'], ['meal', 'positive']]

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


Input: who seemed honestly offended that we asked why our table was 45 minutes late; a cold cafeteria room that was clearly designed to intimidate; and haute chinese food that was over-salted to make up for the lack of flavor.

Output: [['table', 'neutral'], ['cafeteria room', 'negative'], ['chinese food', 'positive'], ['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: After our initial order, the waitress wasn't very attentive (we had to wait 15 minutes at a time to get her attention to refill drinks, order desert, etc).

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

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


Input: Main courses include a list of housemade pastas, a daily risotto special (if you're lucky, you'll arrive on wild mushroom day), plus a handful of fish and meat dishes.

Output: [['daily risotto special', 'neutral'], ['wild mushroom day', 'positive'], ['meat 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: our waitress (who was ok) disappeared in the middle of our dinner, leaving us to an obnoxious amateur (must answer the phones or something) who could not answer our questions and treated us extremely rudely.

Output: [['waitress', '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: First of all, I think our service person was miffed that we couldn't order much for apps or drinks since we had already started at the bar.

Output: [['service', 'negative'], ['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: I mean Pho Viet Huong is at a good location, but face it, the broth is cloudy and oily -they're supposed to constantly dump the top layer off of the Pho broth, service is ran with attitude who cares about you, I have plenty of other customers to make money off of.

Output: [['Pho broth', 'neutral'], ['service', 'negative']]

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


Input: The menu sticks to standard Italian dishes--linguine with clam sauce, chicken parmigiana, and fettuccine Alfredo--but the reasonable prices add to the charm.

Output: [['menu', 'neutral'], ['chicken parmigiana', 'neutral'], ['fettuccine Alfredo', 'neutral'], ['prices', 'positive']]

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


Input: Before I went to Nobu for a Restaurant Week lunch, I was told not to order the sushi -- not because it wasn't excellent, but because 1) it's harder for a relatively untrained palate to appreciate the difference between good and excellen sushi than to savor a really well-prepared seafood entree and 2) the servings of sushi are small.

Output: [['lunch', 'neutral'], ['seafood entree', '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: Self-important people, please stay at home and cook and dump as much parmesan on as you like.

Output: [['people', 'negative'], ['parmesan', '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: Or belly up to the beef belly soup, made with wide chow fun noodles and a thick, beefy broth.

Output: [['beef belly soup', 'neutral'], ['chow fun 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 simple menu focuses on standard pies and chicken-centric specialty pizzas--the Hawaiian BBQ, BBQ chicken, and bacon and chicken club--each topped with fresh ingredients like baby portobello mushrooms and roma tomatoes.

Output: [['menu', 'neutral'], ['specialty pizzas', 'neutral'], ['Hawaiian BBQ, BBQ chicken', 'neutral'], ['bacon and chicken club', 'neutral'], ['ingredients like baby portobello mushrooms', '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 garden is beautiful and romantic place to share dinner with that special someone or just with friends.

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

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


Input: The Food Palm dry ages its steaks--as opposed to vacuum packing--and the result is evident.

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

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 seat quick, and had some weird fill-out order form for a hard to understand menu.

Output: [['seat', 'positive'], ['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 interior is understated making it special enough to take a date but easy enough to stop in anytime for dinner or snack.

Output: [['interior', 'positive'], ['dinner', 'neutral'], ['snack', 'neutral']]

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


Input: We get treated very well and before we sit down to our steaks and fried green tomatoes that we love there - we have a few beers at the bar.

Output: [['steaks', 'positive'], ['fried green tomatoes', 'positive'], ['bar', 'neutral']]

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


Input: They had a prix fixe menu with the most amazing cooked quail appetizer, then lobster bisque, followed by a divine choice of entree, and then the chocolate mousse dessert.

Output: [['prix fixe menu', 'neutral'], ['cooked quail appetizer', 'positive'], ['lobster bisque', 'positive'], ['entree', 'positive'], ['chocolate mousse dessert', 'neutral']]

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


Input: We saw problems with our waitress immediately when she frowned when we opted for tap water instead of bottled.

Output: [['waitress', 'negative'], ['tap water', 'neutral']]

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


Input: The Scene Honeycomb-colored walls, random wall art, a peek into the kitchen from paper-topped tables--all combine for a casual, thrown-together ambience.

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

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


Input: 02 one can have salad, great steak, and cheesecake or chocolate mousse, plus friendly service.

Output: [['salad', 'neutral'], ['steak', 'positive'], ['cheesecake or chocolate mousse', '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: When my family and I visited, we were hearded in and out of the restaurant like cattle; not once did our waiter ask how are meal was, and the waitress mixed up our steaks.

Output: [['meal', '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: Any of their desserts are the perfect finish to a picnic lunch in the park or a Romantic Dinner at home.

Output: [['desserts', 'positive'], ['lunch', 'neutral'], ['Dinner', 'positive']]

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


Input: The service was terrible- our waiter was unable to make any recommendations, mumbled the special and failed to check back during the course of our meal.

Output: [['service', 'negative'], ['waiter', 'negative'], ['meal', 'neutral']]

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


Input: I, on the other hand, thought my fish cake, chicken and veggie hot soba entree was average, and there were less noodles in the soup than I expected.

Output: [['fish cake', 'neutral'], ['veggie hot soba entree', 'negative'], ['soup', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 Cooing couples find some formality and open air up in the front room, while the subterranean back area offers hunkered-down seating for loungier dining.

Output: [['Scene', 'neutral'], ['air', 'positive'], ['area', 'neutral'], ['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: SO I ASKED, TO SPEAK TO THE MANAGER, AND ONE OF THE OWNER WHO MANAGES THE PLACE CAME TO MY TABLE, TOLD ME THAT THE CEVICHE WAS FRESH.

Output: [['MANAGER', 'neutral'], ['OWNER', 'neutral'], ['CEVICHE', 'positive']]

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


Input: When we got there, the wait was just as everyone here has described, Domenico's process was just as described, but the pizza?

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

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


Input: The place got really crowded around 8ish when I went right before Christmas so reservations might be necessary.

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

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


Input: The Food This Cajun-Italian menu is lengthier than its Manhattan counterparts--here, adventuresome diners can still design their own pies, but they can also feast on oversized plates of peel-and-eat old bay shrimp and cajun spaghetti with meatballs enlivened with andouille sausage.

Output: [['Cajun-Italian menu', 'positive'], ['diners', 'positive'], ['plates', 'positive'], ['cajun spaghetti with meatballs enlivened', 'neutral']]

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


Input: Great tasting meat, intimate if slightly noisy ambience and the service is slightly less attentive than it could be but is done with charm.

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

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


Input: For an entree, I tried the Ravioli, cooked to perfection and stuffed with eggplant, ricotta, and chicken and served in an suculent sage butter sauce.

Output: [['entree', 'neutral'], ['Ravioli', 'positive'], ['ricotta', 'neutral'], ['chicken', 'neutral']]

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Input: "The 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 are 30 plus year olds, very gainfully employed, were not being loud or obnoxious, there were other diners around us as well as a bunch of people at the bar and nobody seemed to have a problem with us except for this manager.

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

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


Input: You'll have to wait for a long time if you're not in with the management or Fernando, but it's worth it, have some campari and cinzano at the bar!

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

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


Input: The sauce is filled with spices, including fresh garlic and basil.

Output: [['sauce', 'neutral'], ['spices', 'positive'], ['garlic and basil', '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 got aggravated when we explained how we wanted our entrees prepared.

Output: [['waiter', 'negative'], ['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: What I thought was a rip off was, when we were ordering, the waiter told us there was a minimum of food we can purchase.

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

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


Input: Service only so-so -- I saw a lot of wait staff standing around, and at the busiest moment, I watched waiter stroll through the dining room with two plates as if he had all the time in the world.

Output: [['wait staff', 'negative'], ['dining room', 'neutral']]

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