NEUDM/mams · Datasets at Hugging Face

task_type stringclasses 1 value	dataset stringclasses 1 value	input sequence	output stringlengths 40 314	situation stringclasses 1 value	instruction stringclasses 2 values
generation	mams	[ "I had a burger which was great and my wife had a steak." ]	[['burger', '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	[ "I had a decent chicken sald w olives, red peppers, and croutons." ]	[['chicken sald w olives', 'positive'], ['red peppers', '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	[ "Anyhow, there were a lot of Japanese people seated at the bar, eating chatting up the chefs, surely that's a good sign of authentic sushi." ]	[['seated', 'neutral'], ['bar', 'neutral'], ['chefs', 'positive'], ['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	[ "The Scene Bo Ky is a Vietnamese no-frills noodle shop with some 30 different soups." ]	[['noodle', 'neutral'], ['soups', '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	[ "Food was good but portions were quite tiny." ]	[['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	[ "The food was awesome if you can deal with wait staff who you can hardly ever find." ]	[['food', 'positive'], ['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	[ "We were able to reserve a spot at the chef tasting bar with Morimoto who actually called in sick that night, but we were still charged full price." ]	[['bar', 'positive'], ['price', '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	[ "At the end of our meal, I approached the waitress and asked that they not charge us for the $25 appetizer." ]	[['meal', 'neutral'], ['waitress', 'negative'], ['appetizer', '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 Sangria is sooo perfect, I can't have one glass, the Chicken is always moist and delicious served in a portion I have yet to ever completely finish." ]	[['Sangria', 'positive'], ['glass', 'neutral'], ['Chicken', 'positive'], ['portion', '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	[ "Bar BQ will knock your socks off with every entree (pulled pork and the ribs -- go full rack, kid, it won't do you wrong) and the homey taste of the sides (love that slaw, them beans, and all that tater salad) matches up perfectly." ]	[['Bar', 'neutral'], ['ribs', 'neutral'], ['rack', 'neutral'], ['sides', 'positive'], ['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	[ "My mom I take it to go eat in our car across the street--the BBQ Pork Rice another favorite, Duck Soy sauce chicken rice!" ]	[['BBQ Pork Rice', 'positive'], ['Duck Soy sauce chicken rice', '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	[ "Try the Bocadillos to start and don't forget to order a Mojito from the bar (they're the best!" ]	[['Mojito', '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 crowd doesn't disappoint: A well-heeled, fashionable clientele packs the polished-wood-and-glass-partitioned space, settling into one of two dining rooms, or the bar, which is located at the farthest corner from the entrance." ]	[['crowd', 'positive'], ['dining rooms', 'neutral'], ['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	[ "Good brunch menu - it was hard to make a decision between the breakfast tacos, huevos rancheros, and salads on the menu although our waiter was happy to rank menu items upon our request." ]	[['brunch menu', 'positive'], ['salads', '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	[ "Orange Valve is probably the best bar that I've been to in a while." ]	[['Orange Valve', 'neutral'], ['bar', '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 wait staff were incredibly attentive, though as a warning, if you like wine, but also a little privacy, this might not be a good idea, since they have the tendency to hover a bit." ]	[['wait staff', 'positive'], ['wine', 'positive'], ['privacy', '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	[ "Although the prices are kind of high for lunch the atmosphere is nice." ]	[['prices', 'negative'], ['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	[ "I used to eat there two meals a day until my company moved to stupid Madison avenue (UGH, nasty food for rip off tourist price!)" ]	[['meals', 'neutral'], ['food', 'negative'], ['price', '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	[ "Special touch -- my dessert plate had Happy Birthday drizzled in chocolate." ]	[['dessert plate', 'positive'], ['chocolate', '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	[ "Another quick tell-tale sign is the furniture at the bar and the seating tables." ]	[['furniture', '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	[ "I've had the same steak at Peter Lugers for double the price." ]	[['steak', 'neutral'], ['price', '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 has been nice, but they seemed really stressed and the unisex bathroom needs to be cleaned more often." ]	[['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	[ "YYMV, we visited for Restaurant Week so the quality of the food may have been below normal standards because of the crowds." ]	[['quality', 'negative'], ['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	[ "When we asked the waiter for water - he gave us dirty looks and it took at least 15 minutes to get it." ]	[['waiter', 'negative'], ['water', '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	[ "Many meals were delivered by two servers, besides having a waiter to oversea the process." ]	[['meals', 'positive'], ['servers', 'neutral'], ['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']]
generation	mams	[ "The best thing on the menu was probably the creamed spinach side and that's saying alot for a steakhouse." ]	[['menu', 'neutral'], ['creamed spinach', '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	[ "We picked on a bunch of different appetizers as dinner and everything was yummy." ]	[['appetizers', '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	[ "Unfortunately it gets very crowded on the weekends, so if you don't mind dining at the bar you can skip the wait for a table." ]	[['dining', 'negative'], ['wait', 'negative'], ['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	[ "Chef Richard is always eager to please, and will be happy make something special 'off the menu' if you ask." ]	[['Chef', '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	[ "The chick pea/eggplant dish was quite bland, and the saag paneer was a huge disappointment--more like some kid's worst experience of creamed spinach with tofu-like cheese." ]	[['chick pea/eggplant dish', 'negative'], ['saag paneer', 'negative'], ['spinach', 'negative'], ['tofu-like cheese', '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 a friend for dinner for his birthday here and the food was amazing." ]	[['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	[ "Not in the mood for sushi, try the fantastic okonomiyake." ]	[['sushi', 'negative'], ['okonomiyake', '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	[ "This coffee shop offers many varieties of food." ]	[['coffee', '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	[ "I thought the service was a little slow and not attentive enough for the price but other than that I'll be back when I can afford to spend $60 on dinner!" ]	[['price', '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	[ "The birthday girl's dessert included a candle the staff came by with birthday wishes." ]	[['dessert', 'neutral'], ['staff', '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	[ "Some of the things we ordered were The Duck Spring Rolls, Lobster and Goat Cheese Quesadillas, Wild Mushroom Ravioli and the concluded dinner with a steak special that was out of this world." ]	[['Duck Spring Rolls', 'neutral'], ['Lobster and Goat Cheese Quesadillas', 'neutral'], ['Wild Mushroom Ravioli', 'neutral'], ['concluded dinner', 'positive'], ['steak special', '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 downside is that perhaps due to rice's eclectic nature, the chef has trouble cooking any single type to perfection." ]	[['rice', 'neutral'], ['chef', '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 friends and I dropped by on a Sunday, and there was absolutely NO SERVICE (the supposed only female bartender even told us there was no one else but her, and given that there were people in there waiting to dine and drink, that was ridicoulas!" ]	[['SERVICE', 'negative'], ['dine', 'neutral'], ['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	[ "We loved the recommendation for the wine, and I think the eggplant parmigiana appetizer should become an entree." ]	[['wine', 'positive'], ['eggplant parmigiana appetizer', '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	[ "Other than that, for $30 person you will have one of the best meals and that included a bottle of wine." ]	[['meals', 'positive'], ['bottle of 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	[ "I realized that you dont have to wait hours and pay crazy prices for food." ]	[['prices', 'negative'], ['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	[ "For dinner, I love the churrasco and halibut with of course black beans and yellow rice." ]	[['dinner', 'neutral'], ['churrasco', 'positive'], ['halibut with of course black beans', 'positive'], ['rice', '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 there for dinner last night, and the food was great." ]	[['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 menu sounded good but the grilled eggplant roll was oversauced with a pile of mint, pork chop was leathery, and everything just tasted wrong." ]	[['menu', 'neutral'], ['grilled eggplant roll', '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	[ "Service is coddling and correct and there's no sense of hurry, so diners linger over a cheese course or a round of liqueurs." ]	[['Service', 'positive'], ['cheese', '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	[ "USC has a cold smoker and smoked the avocado in order to make the dish more complex." ]	[['avocado', 'neutral'], ['dish', '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

[ "I had a burger which was great and my wife had a steak." ]

[['burger', '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

[ "I had a decent chicken sald w olives, red peppers, and croutons." ]

[['chicken sald w olives', 'positive'], ['red peppers', '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

[ "Anyhow, there were a lot of Japanese people seated at the bar, eating chatting up the chefs, surely that's a good sign of authentic sushi." ]

[['seated', 'neutral'], ['bar', 'neutral'], ['chefs', 'positive'], ['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

[ "The Scene Bo Ky is a Vietnamese no-frills noodle shop with some 30 different soups." ]

[['noodle', 'neutral'], ['soups', '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

[ "Food was good but portions were quite tiny." ]

[['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

[ "The food was awesome if you can deal with wait staff who you can hardly ever find." ]

[['food', 'positive'], ['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

[ "We were able to reserve a spot at the chef tasting bar with Morimoto who actually called in sick that night, but we were still charged full price." ]

[['bar', 'positive'], ['price', '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

[ "At the end of our meal, I approached the waitress and asked that they not charge us for the $25 appetizer." ]

[['meal', 'neutral'], ['waitress', 'negative'], ['appetizer', '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 Sangria is sooo perfect, I can't have one glass, the Chicken is always moist and delicious served in a portion I have yet to ever completely finish." ]

[['Sangria', 'positive'], ['glass', 'neutral'], ['Chicken', 'positive'], ['portion', '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

[ "Bar BQ will knock your socks off with every entree (pulled pork and the ribs -- go full rack, kid, it won't do you wrong) and the homey taste of the sides (love that slaw, them beans, and all that tater salad) matches up perfectly." ]

[['Bar', 'neutral'], ['ribs', 'neutral'], ['rack', 'neutral'], ['sides', 'positive'], ['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

[ "My mom I take it to go eat in our car across the street--the BBQ Pork Rice another favorite, Duck Soy sauce chicken rice!" ]

[['BBQ Pork Rice', 'positive'], ['Duck Soy sauce chicken rice', '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

[ "Try the Bocadillos to start and don't forget to order a Mojito from the bar (they're the best!" ]

[['Mojito', '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 crowd doesn't disappoint: A well-heeled, fashionable clientele packs the polished-wood-and-glass-partitioned space, settling into one of two dining rooms, or the bar, which is located at the farthest corner from the entrance." ]

[['crowd', 'positive'], ['dining rooms', 'neutral'], ['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

[ "Good brunch menu - it was hard to make a decision between the breakfast tacos, huevos rancheros, and salads on the menu although our waiter was happy to rank menu items upon our request." ]

[['brunch menu', 'positive'], ['salads', '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

[ "Orange Valve is probably the best bar that I've been to in a while." ]

[['Orange Valve', 'neutral'], ['bar', '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 wait staff were incredibly attentive, though as a warning, if you like wine, but also a little privacy, this might not be a good idea, since they have the tendency to hover a bit." ]

[['wait staff', 'positive'], ['wine', 'positive'], ['privacy', '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

[ "Although the prices are kind of high for lunch the atmosphere is nice." ]

[['prices', 'negative'], ['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

[ "I used to eat there two meals a day until my company moved to stupid Madison avenue (UGH, nasty food for rip off tourist price!)" ]

[['meals', 'neutral'], ['food', 'negative'], ['price', '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

[ "Special touch -- my dessert plate had Happy Birthday drizzled in chocolate." ]

[['dessert plate', 'positive'], ['chocolate', '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

[ "Another quick tell-tale sign is the furniture at the bar and the seating tables." ]

[['furniture', '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

[ "I've had the same steak at Peter Lugers for double the price." ]

[['steak', 'neutral'], ['price', '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 has been nice, but they seemed really stressed and the unisex bathroom needs to be cleaned more often." ]

[['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

[ "YYMV, we visited for Restaurant Week so the quality of the food may have been below normal standards because of the crowds." ]

[['quality', 'negative'], ['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

[ "When we asked the waiter for water - he gave us dirty looks and it took at least 15 minutes to get it." ]

[['waiter', 'negative'], ['water', '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

[ "Many meals were delivered by two servers, besides having a waiter to oversea the process." ]

[['meals', 'positive'], ['servers', 'neutral'], ['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']]

generation

mams

[ "The best thing on the menu was probably the creamed spinach side and that's saying alot for a steakhouse." ]

[['menu', 'neutral'], ['creamed spinach', '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

[ "We picked on a bunch of different appetizers as dinner and everything was yummy." ]

[['appetizers', '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

[ "Unfortunately it gets very crowded on the weekends, so if you don't mind dining at the bar you can skip the wait for a table." ]

[['dining', 'negative'], ['wait', 'negative'], ['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

[ "Chef Richard is always eager to please, and will be happy make something special 'off the menu' if you ask." ]

[['Chef', '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

[ "The chick pea/eggplant dish was quite bland, and the saag paneer was a huge disappointment--more like some kid's worst experience of creamed spinach with tofu-like cheese." ]

[['chick pea/eggplant dish', 'negative'], ['saag paneer', 'negative'], ['spinach', 'negative'], ['tofu-like cheese', '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 a friend for dinner for his birthday here and the food was amazing." ]

[['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

[ "Not in the mood for sushi, try the fantastic okonomiyake." ]

[['sushi', 'negative'], ['okonomiyake', '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

[ "This coffee shop offers many varieties of food." ]

[['coffee', '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

[ "I thought the service was a little slow and not attentive enough for the price but other than that I'll be back when I can afford to spend $60 on dinner!" ]

[['price', '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

[ "The birthday girl's dessert included a candle the staff came by with birthday wishes." ]

[['dessert', 'neutral'], ['staff', '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

[ "Some of the things we ordered were The Duck Spring Rolls, Lobster and Goat Cheese Quesadillas, Wild Mushroom Ravioli and the concluded dinner with a steak special that was out of this world." ]

[['Duck Spring Rolls', 'neutral'], ['Lobster and Goat Cheese Quesadillas', 'neutral'], ['Wild Mushroom Ravioli', 'neutral'], ['concluded dinner', 'positive'], ['steak special', '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 downside is that perhaps due to rice's eclectic nature, the chef has trouble cooking any single type to perfection." ]

[['rice', 'neutral'], ['chef', '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 friends and I dropped by on a Sunday, and there was absolutely NO SERVICE (the supposed only female bartender even told us there was no one else but her, and given that there were people in there waiting to dine and drink, that was ridicoulas!" ]

[['SERVICE', 'negative'], ['dine', 'neutral'], ['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

[ "We loved the recommendation for the wine, and I think the eggplant parmigiana appetizer should become an entree." ]

[['wine', 'positive'], ['eggplant parmigiana appetizer', '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

[ "Other than that, for $30 person you will have one of the best meals and that included a bottle of wine." ]

[['meals', 'positive'], ['bottle of 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

[ "I realized that you dont have to wait hours and pay crazy prices for food." ]

[['prices', 'negative'], ['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

[ "For dinner, I love the churrasco and halibut with of course black beans and yellow rice." ]

[['dinner', 'neutral'], ['churrasco', 'positive'], ['halibut with of course black beans', 'positive'], ['rice', '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 there for dinner last night, and the food was great." ]

[['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 menu sounded good but the grilled eggplant roll was oversauced with a pile of mint, pork chop was leathery, and everything just tasted wrong." ]

[['menu', 'neutral'], ['grilled eggplant roll', '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

[ "Service is coddling and correct and there's no sense of hurry, so diners linger over a cheese course or a round of liqueurs." ]

[['Service', 'positive'], ['cheese', '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

[ "USC has a cold smoker and smoked the avocado in order to make the dish more complex." ]

[['avocado', 'neutral'], ['dish', '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']]