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generation | mams | [
"Yesterday they had numerous bartenders as well as servers and the place wasn't packed and it still took 1/2 an hour to make a martini."
] | [['bartenders', 'positive'], ['servers', 'positive'], ['place', 'positive'], ['martini', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"If the food is out of your price range then at least go for happy hour for a drink - although the drinks cost a bit more then the average happy hour bar after you receive one you would agree that it is worth it."
] | [['price', 'negative'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"These are all new items on the menu the waiter told us, and they were delicious!"
] | [['menu', 'neutral'], ['waiter', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The service was good and the price was decent but it wasn't enough to overcome the bland tasting food and the bland decor of the restaurant."
] | [['service', 'positive'], ['price', 'positive'], ['food', 'negative'], ['decor', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"My date enjoyed his food, he had some type of jambalaya dish."
] | [['food', 'positive'], ['dish', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food was pretty good but the portions were smaller than what I would expect for brunch."
] | [['food', 'positive'], ['portions', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"On my last visit we arrived around 9 on a Saturday, and although it wasn't crowded, the waitress acted like we were inconveniencing her, forgot bread, drinks, etc."
] | [['waitress', 'negative'], ['bread', 'neutral'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I wouldn't say Bubby's will blow you out of the water, but they provide a solid bunch served with good coffee."
] | [['water', 'neutral'], ['coffee', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Waiters poured wine like water, my guests were wondering out loud if they would get straws for the wine next."
] | [['Waiters', 'negative'], ['water', 'neutral'], ['wine next', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Went there for dinner last night w/ my boyfriend and a friend after work and got there around 7 so we were able to score seats in this tiny cramped space."
] | [['dinner', 'neutral'], ['space', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The sevice and food were excelent, but at the bottom of the menu were the words, cash only."
] | [['food', 'positive'], ['menu', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The staff is very friendly too~ Everything is wonderful about this place except for the bathroom."
] | [['staff', 'positive'], ['bathroom', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food is simply remarkable as is the fiery female master sommelier!"
] | [['food', 'positive'], ['sommelier', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After an hour of waiting at an overcrowded bar with our coats in our hands and no room to move, I approached the host (who never bothered to give us an update throughout our wait) to ask him how much longer, He was incredibly rude and dismissed me with his hand and walked away from me while I was trying to talk to him!"
] | [['waiting', 'neutral'], ['bar', 'negative'], ['room', 'negative'], ['host', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"If it's atmosphere you want go to the River Cafe under the bridges and pay an arm and a leg for hospital-type food."
] | [['atmosphere', 'neutral'], ['food', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The mussles appetizer was delicious along with my peppercorn steak."
] | [['mussles appetizer', 'positive'], ['steak', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"In Short This old-fashioned luncheonette, festooned with artificial flowers and signs touting the cherry lime rickeys, egg creams and banana-walnut pancakes, is favorite pitstop for folks visiting the Brooklyn Museum and Botanical Gardens."
] | [['cherry lime rickeys', 'positive'], ['egg creams', 'positive'], ['pancakes', 'positive'], ['Gardens', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"In the middle of dessert, the waitress silently passes by and drops the check."
] | [['dessert', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"As the night rolls on the place turns into a bar/lounge so the wait staff is constantly rushing you to eat up and move out, not the kind of atmosphere you want for the price you are paying for your entree."
] | [['wait staff', 'negative'], ['atmosphere', 'negative'], ['price', 'neutral'], ['entree', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The service was professional if somewhat slow, though we didn't mind since it is such a welcoming place to have dinner."
] | [['service', 'positive'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I went here with my family for dinner expecting the usual great pizza."
] | [['dinner', 'neutral'], ['pizza', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"It seemed to take the new staff forever to figure out what they were doing; I had one nightmare of a brunch where the registers didn't seem to work and it literally took over an hour to get our check."
] | [['new staff', 'negative'], ['brunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Place was empty, waitress was rude, told us that even though there were drink specials at the bar (2 for 1 margaritas), we couldn't have them at our table and we couldn't go up to the bar to get drinks."
] | [['Place', 'negative'], ['waitress', 'negative'], ['drink s', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"My appetizer of endive and bleu cheese salad was a surprisingly large serving which balanced the striped bass entree (served on a bed of vegetables)."
] | [['appetizer', 'neutral'], ['serving', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The outdoor tables overlooking bucolic Irving Place, or the wooden ones inside, are prime spots for brunch featuring all the usual suspects--omelets, pancakes, French toast--served on cast iron skillets and griddles."
] | [['outdoor tables', 'neutral'], ['Place', 'neutral'], ['brunch', 'neutral'], ['suspects', 'positive'], ['pancakes', 'neutral'], ['French toast--served', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The wine was great and they kept bringing us bread, these were the two best things about the meal."
] | [['wine', 'positive'], ['bread', 'neutral'], ['meal', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After stopping by on a whim a few months ago, I was so extremely impressed by the fresh Sushi and quality service that I now go there quite often for lunch as well as the occasional take-out dinner."
] | [['Sushi', 'positive'], ['service', 'positive'], ['lunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"On top of which, the waiter doesn't write down your order, the busboy brought us the wrong food 3 times, and there's barely any room while you're waiting to sit and have a drink."
] | [['waiter', 'negative'], ['busboy', 'negative'], ['food', 'negative'], ['drink', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Lunch box deal where you can pick two for $10 including rice and an ice tea is one of the best luches in the area."
] | [['Lunch', 'neutral'], ['ice tea', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I never have to wait a long time to get my food, so it's a great place to go if you're really hungry and/or in a hurry."
] | [['wait', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"noteworthy menu items that we tried - tasting menu 6 courses for $50 with 2 glasses of wine - great value - frog's legs, knuckle sandwich, lobster mac cheese, octopus salad and venison chop - just fantastic."
] | [['courses', 'neutral'], ['glasses of wine', 'neutral'], ['frog', 'neutral'], ['sandwich', 'positive'], ['lobster mac cheese', 'positive'], ['octopus salad', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Service was horrendous the night we went for dinner."
] | [['Service', 'negative'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Odd considering my brunch turned out to be a nuked hors d'oevre quiche tart on a plate with some wilted/slightly spoiled salad - what a rip-off!"
] | [['brunch', 'neutral'], ['tart', 'neutral'], ['spoiled salad', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the grain salad was ok, the calf liver was stringy and the roast onions that came with it too heavy."
] | [['grain salad', 'positive'], ['calf liver', 'negative'], ['roast onions', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food was average for brunch anywhere in NYC, and priced well above average."
] | [['food', 'negative'], ['brunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"They do make great burgers for the money and give big portions of fries with it."
] | [['burgers', 'positive'], ['money', 'neutral'], ['portions of fries', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Went to Chow Bar for dinner, I thought it was kind of pricey, but the food and the service was good - but it wasn't incredibly busy, so maybe they just had more free time to devote to us."
] | [['Chow Bar', 'neutral'], ['dinner', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food was OK, but trying to get anything, like a drink refill or the check, was an ordeal, and this was when the place was nearly empty!"
] | [['drink', 'neutral'], ['place', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"A simple shrimp seviche with fresh cocktail sauce shines on the lunch menu, while dinner items tend to be more sophisticated, such as turkey filet mignon with bacon and a bold mole negro."
] | [['shrimp seviche', 'positive'], ['cocktail sauce shines', 'positive'], ['lunch menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The menu and food make the restaurant a 10 - healthy; affordable; different; huge selection to choose from including Pastas; fishes; chicken and beef."
] | [['menu', 'positive'], ['food', 'positive'], ['Pastas', 'neutral'], ['fishes', 'neutral'], ['chicken', 'neutral'], ['beef', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The music got a bit loud around 9pm, but otherwise, the dim lighting and decor gave it a very sexy feel."
] | [['music', 'negative'], ['decor', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"our waitress couldn't explain or describe the specials to us, and a group of five people seemed to overwhelm her."
] | [['waitress', 'negative'], ['specials', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I took 8 clients to lunch and was appaled by the overall service."
] | [['lunch', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Before our server took our drink order she told us that the prices on the menu were going to be higher that night because of the party."
] | [['server', 'negative'], ['drink', 'neutral'], ['prices', 'negative'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The waiter (someone I know has been working there since it was just LCB) POURED MY WINE FROM THE DIRTY GLASS INTO A CLEAN ONE AND SERVED IT TO ME!"
] | [['waiter', 'negative'], ['WINE', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Cornelia Street looks like a Broadway set for West Side Story and the inside of Po is so cool quaint you really can't top the setting for a romantic dinner in NYC."
] | [['setting', 'neutral'], ['dinner', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Ok, so the service can be a little spotty, but despite this Cafe Con Leche has good food, and decent prices."
] | [['service', 'negative'], ['Cafe', 'neutral'], ['food', 'positive'], ['prices', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"However, they do bring you a lot of food for your buck, and despite the unremarkable food it strikes me as a good place to fill up on the cheap for lunch or after a night of drinking."
] | [['place', 'positive'], ['lunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"i've had practically everything on their menu as i dine out alot but their burgers and mussels with fries are what bring me there every friday night."
] | [['menu', 'neutral'], ['burgers', 'positive'], ['mussels with fries', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"It's served cold with carmelized onions atop, with mashed potatoes on the side and it's the best darn thing this side of the Hudson."
] | [['served', 'positive'], ['carmelized onions atop', 'neutral'], ['mashed potatoes', 'neutral'], ['darn', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I said, that would be fine and had the hostess confirm my reservation before hanging up."
] | [['hostess', 'negative'], ['reservation', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I have been there for lunch many times and have always enjoyed my sushi."
] | [['lunch', 'neutral'], ['sushi', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"However the hostess completely ignored us, we waited 40 min at the bar (even with reservation), our waitress was incredibly uninterested in us (never even offered dessert menus) and the somelier could have taken a look at the label before he made a mistake about his favorite wine."
] | [['hostess', 'negative'], ['bar', 'neutral'], ['reservation', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The host's explanation was they could not control when people finish dinner."
] | [['host', 'negative'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I had been to Blue Fin previously for drinks and appetizers and thought the atmosphere was very good (expecially for people watching)."
] | [['drinks', 'neutral'], ['atmosphere', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The lobster bisque had a pasty bitter taste and the softshell crab was deep fried, served on a bunch of greens it had 0 flavor."
] | [['lobster bisque', 'negative'], ['greens', 'neutral'], ['flavor', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The free champaign and desserts do not really help me to even consider going back."
] | [['champaign', 'positive'], ['desserts', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"As if that wasnt enough, after another in the group mentioned that a portion of the sushi on her plate was not what she had ordered, the waiter came back with chopsticks and started to remove it (as she was eating!)"
] | [['portion', 'neutral'], ['sushi', 'neutral'], ['waiter', 'negative'], ['chopsticks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Smiling servers quiz diners with movie trivia, but forget to fill their water glasses."
] | [['servers', 'positive'], ['diners', 'neutral'], ['water glasses', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I highly recommend the chicken hearts, but remember: ask the waiters, since they're not usually available and will be cooked upon request (and will go fast)."
] | [['chicken', 'positive'], ['waiters', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"We had at least 10 of the appetizers on the menu, which all were delicious."
] | [['appetizers', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"While the recently added outdoor seating was what drew me and my friend to the restaurant, the food, service and overall experience were what drove us out!"
] | [['outdoor seating', 'neutral'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"prices were low, you got a good deal, sushi was ok; everybody wins."
] | [['prices', 'negative'], ['sushi', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Was greeted and seated with no attitude from the host and hostess, despite no reservation."
] | [['hostess', 'negative'], ['reservation', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Food - The cheese plate contained flavored spreads instead of decent chesses."
] | [['Food', 'neutral'], ['cheese', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After arguing about this and requesting tap water instead of a bottled variety, we were exiled to customer Siberia, and the staff seemed eager get us out of the restaurant as soon as possible."
] | [['tap water', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The wait was long which is understandable but the waiters were rude to us while we waited, rushed us to order, ignored us while we ate and needed more drinks, and rushed us when they wanted the table for another couple."
] | [['waiters', 'negative'], ['drinks', 'neutral'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"That was totally acceptable and we found some great seats at the bar."
] | [['seats', 'positive'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The place is small, the host was friendly and communicative -- we had to wait 45 minutes for a table but they don't take reservations and clearly it's a popular spot."
] | [['place', 'negative'], ['reservations', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The ices and the spumoni were perfect desserts to the pizza."
] | [['spumoni', 'positive'], ['desserts', 'positive'], ['pizza', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"And forget about having a drink at the bar to take the edge off because the space between tables is so narrow that you'll be shoved by the wait staff who are desparate to get their job done."
] | [['drink', 'neutral'], ['bar', 'neutral'], ['wait staff', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The foi gras empanadas were OK--I would try another dumpling."
] | [['foi gras empanadas', 'positive'], ['dumpling', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The service was not the greatest, but the place is huge and it has a nice setting."
] | [['service', 'negative'], ['place', 'positive'], ['setting', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Fried appetizers, tuna steak and other dishes are also available, as well as an assortment of sakes, graphed on the menu according to flavor components."
] | [['dishes', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"First, we waited 40 minutes for our food, but after a thrity minute wait, the waitress asked me to clarify what I had ordered (I ordered off their menu, with no changes)."
] | [['food', 'neutral'], ['waitress', 'negative'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Our waitress was rather un-friendly, seemed annoyed that we didn't want appetizers and we waited 15 minutes before our wine arrived."
] | [['waitress', 'negative'], ['appetizers', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The view is the reason to go to this restaurant, not the food nor the service."
] | [['view', 'positive'], ['food', 'negative'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Trish, our waitress was really great - the food was mediocre."
] | [['waitress', 'positive'], ['food', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Our waiter showed up two minutes later to take our order and showed up with our drinks 25 minutes later and they were not crowed."
] | [['waiter', 'negative'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Food Diners are prompted to order several shareable dishes which, considering the food isn't what's drawing most of the crowd, are surprisingly good."
] | [['Food Diners', 'positive'], ['crowd', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"From chicken wings and smoked beef brisket to pulled pork and Texas links, the menu features many barbecue favorites."
] | [['smoked beef brisket', 'positive'], ['pork', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"While the bar is expansive, the ceilings are high, the tables are spacious and the plates are oversized, where is the food?"
] | [['bar', 'positive'], ['tables', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The space and furnishings are too spartan and the service amateur and scattershot (no smiles offered here - busboy serves mains with who gets the."
] | [['space', 'neutral'], ['busboy', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"While the appetizers, entrees, and desserts arrived in a timely manner, our water glasses maintained consistently empty (at one point one of us had to ask for water twice!)"
] | [['appetizers', 'neutral'], ['entrees', 'neutral'], ['water glasses', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"They offer a small but good selection of beer and wine from India, and their cuisine can please the most spice-averting palates of those American friends of yours who claim to not like Indian food."
] | [['beer and wine', 'positive'], ['cuisine', 'positive'], ['Indian food', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"It's made with cauliflower, wild mushrooms, and no rice at all."
] | [['wild mushrooms', 'neutral'], ['rice', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"By this I mean that the guy selling hotdogs outside of Grand Central has given me better service."
] | [['guy selling hotdogs', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Don't miss the crema catalana the waiter recommended us for dessert."
] | [['waiter', 'positive'], ['dessert', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Yes it's pricey for counter service, sawdust floors and deafening chatter but the pastrami makes it all worth it."
] | [['counter service', 'negative'], ['pastrami', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I have never had a bad meal or service (on a couple of occasions I waited past my reservation time)."
] | [['meal', 'positive'], ['service', 'positive'], ['reservation', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Actually, upon being seated in the tea room, we weren't even offered the tea menus and had to ask for it."
] | [['the tea room', 'neutral'], ['tea menus', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Our waiter didn't even bothered to ask for dessert."
] | [['waiter', 'negative'], ['dessert', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Delivery wasn't the fastest, but the food was still hot so I won't complain."
] | [['Delivery', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"The crowd is not young, but hey, go somewhere else to get a drink afterward."
] | [['crowd', 'negative'], ['drink afterward', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"Everything that we tasted on the menu was great, particularly the shrimp tapas (if you don't order it yourself, the waiter will surely recommend it)."
] | [['menu', 'neutral'], ['shrimp tapas', 'positive'], ['waiter', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"By the time you get to the table, it'll have been WELL worth the wait."
] | [['table', 'neutral'], ['wait', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"A lot of energy and I loved the actors who came to our table."
] | [['actors', 'positive'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"For desset, I had Cecilia's Chocolate Marquise served with vanilla sauce and crushed pistachios."
] | [['Chocolate Marquise served with vanilla sauce', 'neutral'], ['pistachios', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"After ordering a good amount of sushi the waiter asked me if that was all I wanted."
] | [['sushi', 'positive'], ['waiter', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"The fish of the day can be prepared five different ways according to the menu, but fails to mention that those five different ways are just five different sauces that come out with the whole, deep fried fish."
] | [['menu', 'neutral'], ['sauces', 'positive'], ['deep fried fish', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |