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generation | mams | [
"For an appetizer try the chicken raviolis, and for dinner try the beef briolle."
] | [['appetizer', 'neutral'], ['chicken', 'positive'], ['dinner', 'neutral'], ['beef briolle', '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 space is small and they don't take reservations, but go next door to the bar while you wait and have some very yummy sakatini's that are made with fresh fruit."
] | [['space', 'negative'], ['bar', 'neutral'], ['fruit', '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 | [
"7A is open 24/7 and is great for lunch, brunch or a late night visit after partying all night."
] | [['7A', 'neutral'], ['lunch', 'positive'], ['brunch', '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 | [
") While the location and ambiance sure are nice, I found the price a bit expensive considering the quality of the food was nothing spectacular."
] | [['location', '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 | [
"This restaurant has taken the trend of serving tiny portions on oversized plates to a new level."
] | [['serving', 'neutral'], ['plates', '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 bar has a large selection of beers on tap,bottles or cans."
] | [['bar', 'neutral'], ['selection', 'positive'], ['beers', 'neutral'], ['tap', '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 dinner with 5 friends at Blue Smoke last night and was totally impressed with the way the food has developed."
] | [['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 | [
"Came here with a date and immediately liked the room and nice bar scene even though we had a bit of a wait despite a reservation."
] | [['bar scene', '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 | [
"They are served with a free appetizer and the portions are perfect for lunch."
] | [['appetizer', '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 | [
"The waitress conveniently added in her tip into our bill, charged $10 for each margarita."
] | [['waitress', 'negative'], ['margarita', '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 left halfway through dinner, without explanation, and was replaced by another waiter."
] | [['waitress', '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 food was good but nothing to write home about - the rack of lamb was a bit too fatty."
] | [['food', 'positive'], ['rack of lamb', '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 very pretty setting to have a meal, but unfortunately the service and food don't match the atmosphere."
] | [['service', 'negative'], ['food', '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 | [
"Waiter was a strange bird and when told we wanted to enjoy our dining experience and not be rushed through dinner, he assured us it takes 30 minutes to get entrees once food was ordered."
] | [['Waiter', 'negative'], ['dining', 'positive'], ['dinner', 'neutral'], ['entrees', '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 the bill came, both appetizers were charged even though we had one bite of the first and it should not have served competely overcooked."
] | [['bill', 'neutral'], ['appetizers', 'neutral'], ['served', '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 | [
"Sit at the bar, order a glass of wine, and grab an appetizer: they'll also bring you olives, parmesan cheese, a huge loaf of delicious bread and 3 dipping sauces."
] | [['bar', 'neutral'], ['glass of wine', 'neutral'], ['appetizer', 'neutral'], ['bread', '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 only thing better than the pizza (if possible), are the meatball and the eggplant parm heros."
] | [['pizza', 'neutral'], ['meatball', 'positive'], ['eggplant parm heros', '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 | [
"Although it lacks the patina of places like Peter Luger's and Sparks, it still has a steakhouse's telltale wood paneling, chalkboard specials and decorative wine bottles."
] | [['Peter', 'neutral'], ['specials', 'neutral'], ['wine bottles', '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 is an exact replica of its sister location in New Mexico - right down to the Frito Pie (don't knock it till you've tried) and a killer array of margaritas."
] | [['menu', 'neutral'], ['Frito Pie', '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 osso buco is to die for and my favorite appetizer was the artichoke served on bed of frisee with a warm poached egg topped with parmesan cheese."
] | [['appetizer', 'positive'], ['artichoke served', 'neutral'], ['warm poached egg topped with parmesan 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 | [
"If coming to Tea and Anthipathy (yea u heard me) during conventional dining hours, expect a good long wait on the curb till tables open up."
] | [['dining', 'neutral'], ['wait', '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 | [
"For entree selections we had the chicken cacciatore, head on shrimp (in a honey glaze) spectacular, mozzarella en carozza (a little bit on the fishy side due to the anchovies) and the sliced italian meats, sapprosota to die for."
] | [['entree', 'neutral'], ['shrimp', '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 | [
"But what would have been a pleasant experience was spoiled by the attitude and actions of the wait staff and the management."
] | [['attitude', 'neutral'], ['wait staff', 'positive'], ['management', '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 | [
"Why would anyone ever go here when the same food (and menu) is double the price of Baba and Jaya in Chinatown."
] | [['food', 'neutral'], ['menu', '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 | [
"Taci then moved to NYU, to a space as warm as an igloo, with an equally cold atmosphere, an attempt at a more upscale menu, and with all the charm of a pizza joint."
] | [['space', 'positive'], ['atmosphere', '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 | [
"I got a full 1/2 chicken, 4 ribs and a decent sized pile of brisket and pulled pork with a corn muffin filled with actual corn."
] | [['ribs', 'neutral'], ['brisket', 'positive'], ['pork', '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 you would like to charge us 5 dollars for service that would be fine, though comming from a restaurant where we buy a dessert for a bithday I thinks it's a bit cheap."
] | [['service', '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 | [
"The Food Despite a menu that seems larger than the restaurant, great care goes into the preparation of every dish."
] | [['Food', 'positive'], ['menu', 'neutral'], ['dish', '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 manager, who refused to come to our table to discuss it, said we were wrong (through the poor waitress) and would not replace our bottle."
] | [['manager', 'negative'], ['table', '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 | [
"Our server seemed to be new because he continually had to go back to the kitchen to check on menu items."
] | [['server', '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 | [
"Thought we were going to have a winner from the pleasant person on the other side of the phone when I called for our reservation."
] | [['person', '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 | [
"The matre de ignored what I said about my girlfriend having to look for a waiter to refill her glass (twice), I mentioned about my rice, he said, You should have spoken up."
] | [['waiter', 'negative'], ['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 | [
"After confronting the counter clerck he assured me the soups would stay warm as long as I wasn't walking 20 minutes to my destination."
] | [['counter', '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 | [
"I've eaten here a couple times and the food is always good (jerk chix wings, fried chicken, meat loaf, etc) but the service is terrible."
] | [['food', 'neutral'], ['fried chicken', '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 service was horrible then and the food was decent."
] | [['service', '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']] |
||
generation | mams | [
"We were put on the wait list, seated in 15 min after a quick drink at the bar and had an incredibly entertaining waiter and dined next to a few regulars who raved."
] | [['wait list', 'neutral'], ['bar', '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 | [
"As host of the party with a full guestlisted group, I still had to wait online for 20 minutes before anyone from the staff would even look in my direction."
] | [['host', '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 | [
"went for dinner with two friends and all of us were raving about our meals--the best steak i've had in a long time, and the duck and salmon were also delicious."
] | [['dinner', 'neutral'], ['meals', 'positive'], ['steak', 'positive'], ['duck', 'positive'], ['salmon', '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 | [
"Casual and kid-friendly, the red-and-gold colored restaurants offer quick drive-thru or dine-in service with a menu of burgers, sandwiches and more."
] | [['service', 'positive'], ['burgers', 'neutral'], ['sandwiches', 'neutral'], ['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 service was spotty as a couple of drink orders were forgotten and the waiter didn't really come to check on us."
] | [['service', 'negative'], ['drink', 'neutral'], ['waiter', '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 | [
"D, who can't decide on a single dish, the tapas menu allowed me to express my true culinary self."
] | [['dish', 'negative'], ['tapas menu', '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 recipe uses shrimp with shell since they preserve the juice much better and it just made me remember my childhood at the beach in Acapulco."
] | [['recipe uses shrimp', 'neutral'], ['juice', '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 | [
"Build your own pie--add toppings to either Ultimate Deep Dish, Crunchy Thin Crust or Classic Hand Tossed styles--or select a Feast Pizza, like the MeatZZa Feast, topped with pepperoni, ham, beef and Italian sausage."
] | [['toppings', 'neutral'], ['Crust', 'positive'], ['Feast Pizza', 'neutral'], ['MeatZZa', 'neutral'], ['pepperoni', 'neutral'], ['ham', 'neutral'], ['beef', 'neutral'], ['Italian sausage', '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 | [
"Luckily, I made reservations for our group or else it would have been a long wait."
] | [['reservations', 'neutral'], ['wait', '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 | [
"Came recommended to us, but we found the food to be so-so, the service good, but we were told we could not order desert since the table we were at had a reservation waiting."
] | [['food', 'negative'], ['waiting', '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 didn't order-the waiter just kept piling the food in front of us."
] | [['waiter', '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 | [
"Denny's serves a better Grand Slam breakfast--and at a quarter of the price (I paid $21 w/o tip for b-fast--I went back a second time, because the restaurant was highly touted and I thought the first bad experience was a fluke."
] | [['Grand Slam breakfast', 'positive'], ['price', 'neutral'], ['tip', '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 server was dutiful yet insincere, the brunch drinks above average."
] | [['server', 'negative'], ['brunch drinks', '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 | [
"For dinner we decided to take our servers advice and order several items to share."
] | [['dinner', 'neutral'], ['servers', '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 | [
"Then the menu is all in Italian well I don't speak Italian so it took forever for the waitress to translate."
] | [['menu', '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 food is decent, too commercialized Italian food, and very verylarge portions, which ca end up being very expensive if you are not up for sharing and ordering wisely."
] | [['Italian food', 'positive'], ['portions', 'positive'], ['wisely', '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 | [
"Not being familiar with Vietnamese cuisine, we found the menu descriptions very helpful."
] | [['Vietnamese cuisine', 'neutral'], ['menu', '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 | [
"All of the dishes we had were very good, but the fries were a little on the salty side, which we actually didn't mind."
] | [['dishes', 'positive'], ['fries', '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 phenomenal- brought me back to Tuscany with that olive oil."
] | [['food', 'positive'], ['olive oil', '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 | [
"Amazingly tasty cheese drenched in oil and soft yet crisp perfect dough, who could ask for more?"
] | [['cheese', 'positive'], ['oil', 'neutral'], ['dough', '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 | [
"Risotto's, Sushi Tuna, wasabi aioli, Steak Frite, and the Best weekend Brunch in Queens."
] | [['Sushi Tuna', 'neutral'], ['wasabi aioli', 'neutral'], ['Steak', 'neutral'], ['Brunch', '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 ordered the flounder special - the fish was fresh but the dish lacked flavor."
] | [['fish', 'positive'], ['dish', 'negative'], ['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 | [
"Their Korean menu was also equally impressive, A must try is the Kimchee cabbage pancakes as an appetiser ( the portions were as big as an entree!)"
] | [['pancakes', 'neutral'], ['portions', '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 waiter told us that he had checked with the kitchen because he noticed that we had not gotten our dinners and they said it would be out shortly, shouldn't someone have said something to us?"
] | [['waiter', 'negative'], ['dinners', '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 waiter was confused and forgot an additional soda when we asked for it."
] | [['waiter', 'negative'], ['soda', '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 were left to choose between boring salmon and chicken entres or a duck substitution."
] | [['chicken', 'negative'], ['duck substitution', '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 | [
"Just expect to wait a good twenty minutes before they take your order (even when the restaurant is half empty), you'll have to ask at least 5 waiters and a manager for coffee before they bring it to you and when they bring your orders out wrong, expect the manager to side with the chef and not you."
] | [['waiters', 'negative'], ['coffee', 'neutral'], ['chef', '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 | [
"It is a nice room with a cool bar and you should stop in for a drink and Tapas but dinner was very weak!!!!"
] | [['room', 'positive'], ['bar', 'positive'], ['drink', 'neutral'], ['dinner', '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 calamari salad was great while the lamb ribs were fat, fattier and fattiest."
] | [['calamari salad', 'positive'], ['lamb ribs', '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 | [
"In my opinion, the bar is not very well laid out, its narrow design makes it hard to meet a group for drinks."
] | [['bar', 'neutral'], ['design', '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 | [
"Our waiter was completely unfamiliar with the menu and did not bother to tell us that they were out of several items (even though we arrived at 7 pm on a Saturday night!)"
] | [['waiter', '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 music was a bit loud but the song selection was great, so we blew off desert and had another round of drinks at the bar."
] | [['selection', 'positive'], ['drinks', '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 | [
"The waitress let us taste three wines before deciding (we were only ordering glasses) and then we chose to eat at the bar (same menu) since it was so comfortable."
] | [['waitress', 'positive'], ['bar', '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 | [
"You get three courses for $20 at lunch and the amount of food is more than enough for anyone to leave feeling fully satisfied."
] | [['courses', 'neutral'], ['lunch', 'neutral'], ['amount of 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 | [
"A+ for the food but the wait staffs need to educate themselves better."
] | [['food', 'positive'], ['wait staffs', '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 decided to get out of there and go to a safe place with bigger portions and normal food."
] | [['portions', '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 wait staff looks like were doing us a favor giving us service and two loud guys at the bar made my evening with my wife quiet miserable."
] | [['wait staff', 'negative'], ['service', '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 | [
"The tables were too close together, the food wasn't impressive, and the service was often times completely missing - waiting 45 minutes between ending dinner and being asked about dessert is not what a restaurant of this caliber should be all about."
] | [['tables', 'negative'], ['food', 'negative'], ['service', 'negative'], ['dinner', 'neutral'], ['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 | [
"unbeknownst to the three of us, the hostess made note of the fact that i was celebrating my b-day after a member of my dinner party made a very brief reference to it as we were seated."
] | [['hostess', '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 | [
"Enjoy the food, because it is remarkable, but don't be too willing to be gratuitis to a server that does not deserve it."
] | [['food', 'positive'], ['server', '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 | [
"Clams, shrimp, mussels, scungilli, and calamari served together in a spicy red sauce atop linguine are full of flavor; steak pizzaiola, a heroic portion of tender beef in a pool of garlicky marinara, comes with a side of spaghetti."
] | [['Clams', 'neutral'], ['shrimp', 'neutral'], ['mussels', 'neutral'], ['scungilli', 'neutral'], ['calamari served', 'neutral'], ['spicy red sauce atop linguine', 'neutral'], ['flavor', 'positive'], ['steak', 'neutral'], ['portion of tender beef', 'neutral'], ['spaghetti', 'neutral']] | 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 sucked--we didn't get bread, our eggs were cold, and their brunch prix fix does not include an alcoholic drink."
] | [['bread', 'negative'], ['brunch prix', '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 | [
"When a meal starts with bad bread, you know you're in for a long night."
] | [['meal', 'neutral'], ['bread', 'negative'], ['night', '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 | [
"Most dishes are smothered in melted cheese or merely mediocre; flan is flat and pedestrian, drenched in tasteless sugar syrup; and even its supposedly best feature - the margarita - is a hit-or-miss affair."
] | [['dishes', 'negative'], ['cheese', 'negative'], ['flan', 'negative'], ['sugar', 'negative'], ['margarita', '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 | [
"It appears to be a charming french outdoor bistro, and the food wasn't bad, but the waiters were clearly tired of dealing with tourists, and didn't handle us with care."
] | [['french outdoor bistro', 'positive'], ['waiters', '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 felt the chef was using truffles too much just to cover up mediocre food."
] | [['chef', 'negative'], ['truffles', '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 | [
"To finish, the cost of the dinner was over-priced."
] | [['cost', '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 | [
"In Short The few window-front tables fill quickly, but most customers prefer not to linger in the nondescript space, in favor of taking their Thai food to go, or phoning in for delivery."
] | [['window-front tables', '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 | [
"On the top of everything at the end of the dinner the waiter gave us the wrong check."
] | [['dinner', 'neutral'], ['waiter', 'negative'], ['check', '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 | [
"However, you don't even really need the menu, because the daily specials are always tempting and delicious."
] | [['menu', 'neutral'], ['daily specials', '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 | [
"In other words, conserative types craving simpler things like grilled chicken or salmon probably would not appreciate Tabla's distinctive and unusual menu."
] | [['salmon', 'neutral'], ['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 were very friendly, the prices were relatively average, not bad, and the food was great."
] | [['staff', 'positive'], ['prices', '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 | [
"It is expensice, but the portions are big and include a side, salad, nan and rice along with your main meal!"
] | [['portions', 'positive'], ['salad', 'neutral'], ['nan', 'neutral'], ['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 | [
"After dining there twice, all the waiters will remember you and what you ordered the last time you were there!"
] | [['dining', 'neutral'], ['waiters', '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 | [
"Comfort standbys--including bacon-wrapped meat loaf and barbecued ribs, and upscaled interpretations--like tuna club made with wasabi mayo, share space with brunch favorites (Belgian waffles, fluffy buttermilk pancakes and wrecked eggs, or tofu)."
] | [['Comfort', 'positive'], ['barbecued ribs', 'neutral'], ['interpretations', 'neutral'], ['wasabi mayo', '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 | [
"It might be the best sit down food I've had in the area, so if you are going to the upright citizen brigade, or the garden, it could be just the place for you."
] | [['food', 'positive'], ['garden', '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 Scene Unpolished but cozy, with red walls, arty sconces and deep, comfortable booths, Raga calls little attention to itself."
] | [['Scene', 'positive'], ['walls', '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 | [
"This is the place to come for coffee and dessert; they have an enormous and decadent selection of cakes, pies, and other things involving chocolate."
] | [['coffee', 'positive'], ['dessert', 'positive'], ['selection of cakes', 'positive'], ['pies', 'neutral'], ['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']] |
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generation | mams | [
"The service is a bit slow, but harkens back to my years growing up in Napoli, Italy where things are not rushed and when you sit down for dinner the table is yours all night."
] | [['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']] |
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generation | mams | [
"The atmosphere is bland and non-descript and the service is fine."
] | [['atmosphere', 'negative'], ['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']] |
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generation | mams | [
"The Scene Tucked away on the second floor of a small, nondescript Madison Avenue building, Caviar Russe feels more like a private club than a restaurant."
] | [['Scene', 'negative'], ['Caviar', '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 | [
"Service was good, the waiter was a little flip, but we can deal with that."
] | [['Service', 'positive'], ['waiter', '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']] |
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generation | mams | [
"Meals generally begin in a pub-food vein, with appetizers like featherweight, perfectly salted fried clams and brown sugar-lacquered ribs that are good enough to take on any barbecue joint in the city."
] | [['Meals', 'neutral'], ['appetizers', 'positive'], ['salted fried clams', 'positive'], ['brown sugar-lacquered ribs', '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 | [
"Waiter ignored us, never asked if we needed anything, never received a dessert menu or asked if we wanted coffee, or even the check."
] | [['Waiter', 'negative'], ['dessert menu', 'neutral'], ['coffee', 'neutral'], ['check', '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 | [
"when someone from our table of 5 asked the waitress for refill on water, she comes back and fills only that person's glass, leaving the rest of the table with almost empty glasses."
] | [['waitress', 'negative'], ['water', 'neutral'], ['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']] |