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generation
mams
[ "The menu offered unique options and my friends enjoyed their food, but my lentil avacado salad was not better or more interesting than the lunch counter at Saks and my John Dory was overcooked." ]
[['menu', 'positive'], ['food', 'negative'], ['place', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Just look at all those people waiting outside to feat in an unadorned space of cramped shared tables?" ]
[['service', 'neutral'], ['place', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The food was delicious, and the menu provided ample choices which suited all of the eaters in our party from the most daring to the most conservative." ]
[['food', 'positive'], ['menu', 'neutral'], ['miscellaneous', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "My nice waitress even came running out of the restaurant to hand me a tiny box I had forgotten on the table." ]
[['staff', 'positive'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "While waiting for a table, tried to get a drink from a bartender who seemed more interested in arguing with his waiters." ]
[['service', 'neutral'], ['miscellaneous', 'neutral'], ['food', 'neutral'], ['staff', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The chef insisted that the meat was cooked properly!?" ]
[['staff', 'negative'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "warm orangey glow, nice old mexican prints, wee bar that my bf and i vowed to go back and linger at." ]
[['miscellaneous', 'positive'], ['place', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I looked for months for a reasonably priced place that could accommodate about 40 people for a wedding rehearsal dinner on a Friday night." ]
[['price', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We were coldly greeted by a hostess and wait staff who, in spite of our reservation, did not want to seat any of us, including the elderly, until our entire party had arrived." ]
[['staff', 'negative'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I had dinner here with a few friends recently, and while I must admit that the food and service was okay, the prices simply did not match the environment and cuisine." ]
[['food', 'positive'], ['service', 'positive'], ['price', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The birthday girl's dessert included a candle the staff came by with birthday wishes." ]
[['food', 'neutral'], ['staff', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Our meals were a moderate portion and they weren't too spicy." ]
[['food', 'neutral'], ['miscellaneous', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Although she was obviously busy, she was helpful in describing certain items on the menu and suggested a duck dish that was out of this world." ]
[['menu', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We had no problems with our resevations and found the service and the meal well worth a wait, had we run into one." ]
[['service', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The place was a bit noisy, but sitting on the edge of the restaurant helped, and although the portions were small, w/ an appetizer it was the perfect amount of food." ]
[['miscellaneous', 'negative'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Although the sushi was fresh, I was disappointed with the size of the portions for the price." ]
[['food', 'positive'], ['miscellaneous', 'negative'], ['price', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The chef will not alter any of the three tasting menus." ]
[['staff', 'negative'], ['menu', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Sure the food was - as always - very good, but we were quite outrageous about the waitress." ]
[['food', 'positive'], ['staff', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "After our disappointing meal and terrible service we asked to speak to the manager (who was sitting alone having a glass of wine) when we were told he was too busy to speak to us!" ]
[['service', 'negative'], ['staff', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "When I asked to speak to a manager, I was sent to voicemail, and I still haven't received a callback." ]
[['staff', 'negative'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Yesterday they had numerous bartenders as well as servers and the place wasn't packed and it still took 1/2 an hour to make a martini." ]
[['staff', 'positive'], ['place', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The waiter handed us menus consisting of about 7 entrees, and after telling us the specials, informed us that there was no chicken." ]
[['staff', 'neutral'], ['food', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Well, no secret that a brunch here on Saturday or Sunday will be a long wait - but once you bite into those pancakes, it will have been worth every minute." ]
[['food', 'positive'], ['service', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We had to remind the waiter to pour our wine (white) and then he didn't show us the label." ]
[['staff', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "same atmosphere but food was better before years ago- octopus was like chewing a rubber tire- dumplings tasted artificial." ]
[['ambience', 'positive'], ['food', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The food and beer make up for it, but it would be nice if the staff weren't such buzz kills!" ]
[['food', 'positive'], ['staff', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The waiters seemed annoyed we all ordered the restaurant week menu and were going to cut into their tips." ]
[['staff', 'negative'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "my waitress was unable to answer my questions about the menu, and forgot to put in my order." ]
[['staff', 'negative'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I highly recommend the potato and cheese pierogis and the polish kielbasa entreesbut the real stars on the menu are the sides." ]
[['food', 'positive'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Our waiter was pretty much non-existent and when he did come to our table he practically tossed our plates and wine glasses in front of us." ]
[['staff', 'negative'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Although my waiter had about as much personality as a dead fish, I loved the great solid food and would definately go back." ]
[['staff', 'negative'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The atmosphere was so fun that we decided to have another cocktail at the bar and enjoy the scene." ]
[['ambience', 'positive'], ['food', 'neutral'], ['place', 'neutral'], ['miscellaneous', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Dinner's nothing to scream about (although there are a few winners on the menu), but solid margaritas and appetizers are well-suited for a summer evening." ]
[['menu', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I was disappointed to hear another waiter (or it could've been the owner) was reading completely different specials (most of which I would've wanted to try if I didn't overhear at the end of our meal) to the table next to us." ]
[['staff', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Alongside the USDA prime dry-cut steaks, the menu features standard steakhouse fare: appetizers like shrimp cocktail, fresh oysters and clams, an array of salads, soups, pastas and vegetable sides, and non-steak entrees like lamb, veal and pork chops, lobster and more." ]
[['food', 'neutral'], ['menu', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "But the price tag was high, and the food was comparable to a Las Vegas buffet for flavor and quality." ]
[['price', 'negative'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Forget about the staff and go for the food and pleasant, if a bit cramped Lancaster, Pennsylvania like decor for comfort." ]
[['staff', 'negative'], ['food', 'positive'], ['ambience', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I mean Pho Viet Huong is at a good location, but face it, the broth is cloudy and oily -they're supposed to constantly dump the top layer off of the Pho broth, service is ran with attitude who cares about you, I have plenty of other customers to make money off of." ]
[['food', 'neutral'], ['service', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The lengthy menu includes the likes of mee krob (glass noodles with shrimp, chicken and pork in plum sauce), nur-yang-num-tok (barbecued flank steak served with a spicy sauce), pork with chili and basil leaves and spicy, bean curd coconut milk soup." ]
[['menu', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The Food The fun factor is high on the menu of experimental, multi-ethnic shared plates." ]
[['food', 'positive'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
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." ]
[['staff', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "This place is pricey, and yes, the food is worth it; but the service makes you feel like you should be paying a quater of the price." ]
[['food', 'positive'], ['service', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The food is just ok, not really memorable and not what you expect for the price but I guess the atmosphere is what you pay for." ]
[['food', 'positive'], ['price', 'negative'], ['ambience', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The food was good but for the prices, it was definitely not worth it." ]
[['food', 'positive'], ['price', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The menu is varied but I think it is the chicken which they do best as." ]
[['menu', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We waited over 30 minutes to get our drinks (which were brought over my the manager) and we could not find anyhting that looked interesting on the menu." ]
[['food', 'neutral'], ['staff', 'negative'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I'm totally into the space-age vibe of this place, but I wish they had more tables to sit down at." ]
[['ambience', 'negative'], ['place', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "While the food was good (certainly no Il Mulino) the service was horrendous." ]
[['food', 'positive'], ['service', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "the regular prices looked pretty expensive (~$15 per appetizer, ~$35 per entre) so the restaurant week menu (at $35pp) seemed like a sweet deal." ]
[['price', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Went there a few months ago, and while the food was really good, and I was ready for it to be pricey, the one thing that bothered me was the waiter was standing in a corner watching us eat." ]
[['food', 'positive'], ['staff', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I came in for brunch with my parents on Saturday and the place was packed." ]
[['food', 'neutral'], ['miscellaneous', 'neutral'], ['place', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "While the space is exceptionally small and the seating can be uncomfortable, the food is well worth the few inconveniences." ]
[['place', 'negative'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We were planning to get dessert but the waitress basically through the bill at us before we had a chance to order." ]
[['food', 'neutral'], ['staff', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The waiter took my boyfriend's order, snatched away the menus and stormed away from the table without even looking at me." ]
[['staff', 'negative'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "This is definitely a special occasion spot, unless you don't mind a hefty bill, but rest assured that either way, it's well worth it." ]
[['miscellaneous', 'positive'], ['price', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Went early with reservation, place was empty, and they squeezed our two top in between other diners at a banquette." ]
[['miscellaneous', 'neutral'], ['place', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Food and service were very good but prices were a bit high for the portions." ]
[['food', 'positive'], ['service', 'positive'], ['price', 'negative'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The new fall menu has a black cod with miso broth so good I thought I was at Nobu." ]
[['menu', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Went for lunch the bartenders were great, also they had a DJ playing music during the day, there was a Huge screen tv playing music videos and a bunch of other tvs with all the sports you could look at." ]
[['food', 'neutral'], ['staff', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "and don't be ashamed to ask for more during the hour long wait for your entrees." ]
[['service', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The only drawback is that the tiny cafe can only hold so many people with even less tables available, so if you are lucky enough to score a table, stay put with a date and some wine, because no place nearby can serve so much romance with such quality eats." ]
[['place', 'negative'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The candle-lit bar is the destination of trendy wine-sippers and snackers, and the rustic-chic dining room, with brick arches that open onto a tight sidewalk terrazza, is booked weeks in advance." ]
[['place', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I used to live in Japan, and have had some pretty good raw fish, but I was blown away by the Chef's tasting plate, which includes 6 appetizers including a stunning octopus portion and some incredible sashimi." ]
[['food', 'positive'], ['staff', 'neutral'], ['miscellaneous', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I liked the place and the people, but we really went to have dinner no appetizers as the whole dinner." ]
[['place', 'positive'], ['miscellaneous', 'positive'], ['food', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Our waiter was a bit weird as well, but the lounge area looked like a nice place to get a drink after work." ]
[['staff', 'negative'], ['place', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The service was really bad at several points our waiter would just leave for a cigarette for like 10 minutes while we waited for him to get us another drink or even pay the bill." ]
[['service', 'negative'], ['staff', 'negative'], ['food', 'neutral'], ['price', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I took 8 clients to lunch and was appaled by the overall service." ]
[['food', 'neutral'], ['service', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "While the hostess claimed to have lost my reservation, we were there early enough to only have to wait about 10 minutes to seat our party of seven." ]
[['staff', 'negative'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "deserts were slow to order as waiters passed us twice, even with the menus closed." ]
[['food', 'negative'], ['staff', 'negative'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "12/24/03 Dinner was ok, service was so- so,the worst part was the hostess - we made reservations a month before Christmas Eve for three people, you would think the table would be large enough for all three of us." ]
[['food', 'positive'], ['service', 'neutral'], ['staff', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "So if he can't find fresh-good product, he'll remove a dish from the menu which I think is fantastic." ]
[['food', 'positive'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "There are some reviews complaining about the menu but I had the same dish the first three times that I was there - and any specials that I have had have been excellent." ]
[['menu', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The final blow came when the waitress scorned our 16% tip for the meal." ]
[['staff', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Recommend eating at the bar for an intimate, relaxed dinner." ]
[['place', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "When the food arrived, the portions were really small, and didn't really reflect the awesome descriptions on the menu." ]
[['food', 'neutral'], ['miscellaneous', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We ordered the Tuna a la carte and Wild Salmon and chicken breast on the Prix Fixe." ]
[['food', 'positive'], ['price', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "oh, and if you're there for drinks at 3:30 on a weekday afternoon, when the place is empty - and ask for a bread basket - they'll charge you $6." ]
[['food', 'neutral'], ['place', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Only problem was - an older gentleman (well-dressed but a little enebriated) chose to sit down right next to me - despite the fact that all 15 other seats were free - order himself a martini, and then describe how dry and dissapointing the burger was when he ordered it a few days ago." ]
[['staff', 'negative'], ['miscellaneous', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "You can't fault them for serving up some pretty good food, even if it's a bit overpriced." ]
[['service', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We waited at the bar for only 10 minutes (we had a reservation) - can't complain about that, the restaurant was full and I enjoyed the lively atmosphere and music." ]
[['place', 'neutral'], ['ambience', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Bartender made a bad drink for me and I sent it back and was charged for it." ]
[['staff', 'neutral'], ['food', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The bar has a large selection of beers on tap,bottles or cans." ]
[['place', 'neutral'], ['miscellaneous', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Waited 30 min for a brick they call bread and water, another hour for food (tiiiiiiiny portions)." ]
[['food', 'neutral'], ['miscellaneous', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
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'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The menu was in Italian- might as well have been in Esperanto;that put us at the mercy of the waiter for recommendations." ]
[['menu', 'neutral'], ['staff', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "We had to flag down the waiter even to refill water glasses!" ]
[['staff', 'negative'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Waiter spilled a decent amount of water on my friend's plate -and then walked away - didn't remove the plate!" ]
[['staff', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "our waiter noticed it was my bday w/o me saying, and brought me cake w/ candles." ]
[['staff', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The decor is not special at all but their food and amazing prices make up for it." ]
[['ambience', 'negative'], ['food', 'positive'], ['price', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Rather you are paying rock bottom price for a meal that could cost you triple any where else." ]
[['price', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Granted we were just the girls, but this would also be a great date spot b/c the ambiance is chic and bustling yet you can also hear the conversation at your own table rather than a loud din or worse, someone else's conversation." ]
[['miscellaneous', 'positive'], ['ambience', 'negative']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The portions are big so you can split an appetizer." ]
[['miscellaneous', 'positive'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "In the front bar, boisterous neighbors and friends share bottles of wine; the large dining room, with its lovely painted ceiling and oversized portrait of a portly chef, is the destination for serious eating." ]
[['place', 'neutral'], ['food', 'neutral'], ['ambience', 'positive'], ['staff', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "The calamari, the penne and vodka sauce, the friendly service the parking and the open area kitchen to see all the action in the making!" ]
[['food', 'neutral'], ['service', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "I've never been able to find a lunch place in the midtown with the same quality and service, until now." ]
[['food', 'neutral'], ['miscellaneous', 'positive'], ['service', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "staff is still working out their kinks and learning about the menu but no real complaints." ]
[['staff', 'positive'], ['menu', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "It was worth the wait , an hour, without a reservation, for an out of this world meal." ]
[['service', 'positive'], ['miscellaneous', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Among us, we ordered a large sampling of the menu, and everyone thoroughly enjoyed their meal." ]
[['menu', 'neutral'], ['food', 'positive']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "Service was unbelievably on target down to the smallest detail; our waiter invited us to sample a new desert under consideration for their menu and a new line of ice wines." ]
[['service', 'positive'], ['staff', 'positive'], ['menu', 'neutral'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]
generation
mams
[ "In addition, the manager refused to come over to apologize - but told the waitress to offer us TWO desserts on the house- when there were FOUR people dining." ]
[['staff', 'negative'], ['food', 'neutral']]
none
Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']]