Input: Music was blasting (speakers located practically on top of every table), and we asked the waitress if they can turn it down.

Output: [['ambience', 'negative'], ['staff', 'neutral']]

Instruction: 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']]


Input: My only quibbles are service - which was confused (we waited 10 minutes for menus), and the wine list, which is over-the-top expensive.

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

Instruction: 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']]


Input: food is heaven  we were greeted by the hostess and sat down immediatly the space was very crowded and and we decided to order drinks promptly food can wait.

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

Instruction: 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']]


Input: With one drink each, apps, entrees, and three desserts (nothing great) the bill came to $200 for four.

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

Instruction: 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']]


Input: Part of the charm is in the earnest service; part of it is the colorful clientele; but the real charm comes from what emerges from the kitchen.

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

Instruction: 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']]


Input: 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.

Output: [['staff', 'negative'], ['service', 'neutral'], ['place', 'neutral']]

Instruction: 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']]


Input: The waitress encouraged to come for dinner and brunch, and I followed her recommandation.

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

Instruction: 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']]


Input: Not being familiar with Vietnamese cuisine, we found the menu descriptions very helpful.

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

Instruction: 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']]


Input: i had the smallest martini, which the waiter spilled part of.

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

Instruction: 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']]


Input: To sum it up, the steak is indeed the best out there, but the servers and especially the hosts are big time jerks.

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

Instruction: 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']]


Input: Patrons can choose to be seated in the front room with a little more activity and more of a bar feel or in one of the 2 back rooms which both offer slightly quieter, more relaxed environments.

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

Instruction: 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']]


Input: For dinner we decided to take our servers advice and order several items to share.

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

Instruction: 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']]


Input: He prepares the most authentic dishes, I guess that's why the bar is usually filled with Japanese.

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

Instruction: 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']]


Input: The Scene Superfine is an easygoing, instantly appreciable neighborhood hangout that boasts a kitchen staff armed with serious cooking chops.

Output: [['miscellaneous', 'positive'], ['staff', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: We waited for 1 hour each time the waitress came over to our table.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: On my last visit we arrived around 9 on a Saturday, and although it wasn't crowded, the waitress acted like we were inconveniencing her, forgot bread, drinks, etc.

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

Instruction: 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']]


Input: When we arrived, our table wasn't ready and we waited 30 minutes in the bar.

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

Instruction: 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']]


Input: Our waiter snubbed us when we asked if there was dessert (there wasn't), and my meal would have been the same price had it not been restaurant week.

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

Instruction: 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']]


Input: Actually she want to eat sushi, but their staff reject to serve it.

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

Instruction: 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']]


Input: 26 seats also has the most reasonable prices in NYC, it is a true gem.

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

Instruction: 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']]


Input: For entrees, the Ground Lamb in Spicy Sauce (can't remember the name on the menu) was perfectly cooked and had just enough kick for the average person.

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

Instruction: 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']]


Input: The best tasting pizza by far, a long long wait for service but well worth it.

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

Instruction: 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']]


Input: Tony's gone, sadly Ernie's passed on and now the waiters have corn rows and less finish to their chosen profession but it still maintains it's class and place as a brooklyn landmark.

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

Instruction: 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']]


Input: The waitress took our menu away, without taking our food order!

Output: [['staff', 'negative'], ['menu', 'neutral'], ['food', 'neutral']]

Instruction: 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']]


Input: We told the waitress a few more were coming and ordered drinks.

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

Instruction: 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']]


Input: One time the waitress left in the middle of our dinner.

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

Instruction: 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']]


Input: There is no waiting area, so we had a crowd hovering over our table, this is just testament to how many people want to eat there.

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

Instruction: 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']]


Input: My dining experience with friends started off very badly - 40 minute wait WITH a reservation and having to repeatedly ask for bread and water - but ended on a better note.

Output: [['food', 'negative'], ['service', 'neutral'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: We have been waiting for months for a 8pm reservation at this very average restaurant.

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

Instruction: 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']]


Input: the best thing is the atmosphere, but even that is overshadowed by the lack of taste and originality in the food.

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

Instruction: 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']]


Input: I dined at Belleville and my meal was distrupted by the manager yelling at the wait staff in the middle of the dining room.

Output: [['food', 'neutral'], ['staff', 'negative'], ['place', 'neutral']]

Instruction: 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']]


Input: For fun on the run, sip a mojito at the bar while a portrait of the Virgin Mary bizarrely watches over you.

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

Instruction: 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']]


Input: Seated by a moody hostess and presented a menu that included live food-samples.

Output: [['staff', 'negative'], ['menu', 'neutral']]

Instruction: 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']]


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

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

Instruction: 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']]


Input: Our server didn't have the sommelier stop by when we were trying to decide on wines, he never brought the bread we requested and didn't crack a smile the whole evening until he saw that I was paying the tab when he suddenly became nicer.

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

Instruction: 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']]


Input: I like how the ambiance changes from the cafeteria style of lunch to a sit down dinner in romantic lighting.

Output: [['ambience', 'positive'], ['miscellaneous', 'neutral'], ['food', 'neutral']]

Instruction: 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']]


Input: Mostly, this small restaurant offers eggs, hot sandwiches and traditional American platters.

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

Instruction: 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']]


Input: The Scene The bar's upbeat Latin music, colorful stools and cocktail napkins, and a fruity drink menu are the first confirmations that Agozar lives up to its translation: A good time.

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

Instruction: 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']]


Input: The two vegetarian dishes on the menu were just an afterthought--why did they even bother?

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

Instruction: 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']]


Input: He was not accommodating at all and the handful of dishes I sampled that night failed to compare to anything you would find elsewhere in the city for less than half the price.

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

Instruction: 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']]


Input: At first I was shocked by the price, but the excellent and friendly service from our waiter Jack was great and the duck salad was the best ever.

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

Instruction: 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']]


Input: The menu features such sumptuous fare as lobster ravioli in a light aurora sauce, double-cut grilled veal chop with an aromatic salsa verde, and octopus salad with steamed potato, red onions, and caper berries.

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

Instruction: 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']]


Input: At the end of the meal the manager stopped by and said dessert was on her.

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

Instruction: 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']]


Input: Came here for a b-day and ended up waiting so long even for a reservation.

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

Instruction: 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']]


Input: I would say that the atmosphere was nothing amazing, I didn't feel like the authenticity of the history of the place was nearly as prevelant as it could have been in the experience.

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

Instruction: 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']]


Input: Our server never bothered to inquire as to whether or not we wanted coffee.

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

Instruction: 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']]


Input: The hostess finally seated us at a table for two when there were three of us in an empty restaurant.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: i think friends coffee shop makes great food the service is great and they are very poilte i think that they should open more because there the best food store i ever ate from the food is addicting and you cant stop eating because it so delious.

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

Instruction: 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']]


Input: But Bobby Flay really steps up at Bar Americain--his passion and heart shine through the food.

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

Instruction: 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']]


Input: The ravioli was the better of the two, but the serving was tiny, and the skin a bit rubbery.

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

Instruction: 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']]


Input: I didn't even have time to finish my single cocktail and the waiter didn't even ask if we wanted coffee but instead, gave us our check without us even requesting it.

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

Instruction: 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']]


Input: It was somewhere between our waiter not knowing what sushi came as part of the tasting platter and the copious amounts of wine that he spilt while trying to pour me a taste that I realized.

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

Instruction: 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']]


Input: But the karaoke downstairs is the real draw: You and your friends can sing yourself silly in absolute privacy, for nothing more than the cost of dinner and drinks.

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

Instruction: 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']]


Input: after booking reservations at Danube, only to show up and not have any tables available, the Danube somelier graciously called over to Bouley and got us a table for immediate seating.

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

Instruction: 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']]


Input: The owner and his sister make you feel like you've been invited over to their house for dinner.

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

Instruction: 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']]


Input: we all liked the brunch items we had but when we later asked if the chips were supposed to come with the meal, the waitress explained it away by saying sometimes they forget instead of apologizing and offering something extra.

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

Instruction: 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']]


Input: In the winter they have the fireplaces working which immediately creates a cozy romantic feel.

Output: [['place', 'neutral'], ['miscellaneous', 'positive']]

Instruction: 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']]


Input: The service was horrible- the 'manager' took my our order - did not write it down- and two of us were given the wrong apps and or entrees.

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

Instruction: 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']]


Input: On the menu says Free delivery (Minimun order $10) but I was charged a couple of dollars on both opportunities.

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

Instruction: 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']]


Input: While the recently added outdoor seating was what drew me and my friend to the restaurant, the food, service and overall experience were what drove us out!

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

Instruction: 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']]


Input: The next thing we know, the bartender comes over and says (and I quote verbatim), I already gave you two beers (which he hadn't).

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

Instruction: 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']]


Input: Call it a bar with weak but tasty sangria and leave it at that.

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

Instruction: 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']]


Input: We a menu that rearely changes,e xcept for one or two specials, the quality and care they put in thier food in evident.

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

Instruction: 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']]


Input: The simple menu focuses on standard pies and chicken-centric specialty pizzas--the Hawaiian BBQ, BBQ chicken, and bacon and chicken club--each topped with fresh ingredients like baby portobello mushrooms and roma tomatoes.

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

Instruction: 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']]


Input: After some good food and spotty service, my friends and I were surprised to get a bill that had a 20% tip included post-tax.

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

Instruction: 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']]


Input: The food is simply remarkable as is the fiery female master sommelier!

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

Instruction: 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']]


Input: The waitress interrupted us halfway through our meal to say that if we wanted dessert we had to order it then, because the kitchen wanted to close.

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

Instruction: 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']]


Input: My friend and I enjoyed choosing from a very diverse menu of appetizers and entrees.

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

Instruction: 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']]


Input: The space was so fantastic that once we heard they were serving dinner we decided to go one night and try it out.

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

Instruction: 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']]


Input: The wait staff had good recommendations and when i broke a wine glass, they reacted in a way to put me out of my embarrassment quickly and even filled me a new glass of wine.

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

Instruction: 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']]


Input: If you can get service, you might enjoy the surroundings- especially the upstairs lounge.

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

Instruction: 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']]


Input: Waiter brought white instead of red wine.

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

Instruction: 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']]


Input: After the wonderful anipasto tray came, it was 60 minutes before our plates were removed and dinner was brought.

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

Instruction: 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']]


Input: An unpretentious sexy atmosphere lends itself to the above average wine-list and a menu that can stand-up to any other restaurant in NewYork City (or Paris).

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

Instruction: 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']]


Input: I for one do not plan to go back, there are many other places in Manhattan that have just as good food if not better, at the same prices with much better service.

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

Instruction: 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']]


Input: The decor there is nothing special, though somehow the service manages to deal with the large crowds in an efficient, friendly manner.

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

Instruction: 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']]


Input: I've since been back for a regular dining night out, it was packed and I should have made a reservation (the wait was a little long).

Output: [['food', 'neutral'], ['miscellaneous', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: one of us still had wine, so the others tried to order dessert drinks, but the owner told us no because there were people waiting and the waiter said if he served us more he would be fired.

Output: [['food', 'neutral'], ['staff', 'negative'], ['service', 'neutral']]

Instruction: 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']]


Input: When we sat, our dinner was delivered promplty (Like FAST) and we had plenty of time to make The Goat, which by the way I also recommend highly (Great Show!

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

Instruction: 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']]


Input: you may have to wait a bit for service but you will not be disappointed with the food.

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

Instruction: 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']]


Input: The fondue was good, but not worth the very expensive price tag.

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

Instruction: 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']]


Input: We were hassled about seating by our waiter who seemed at the end of his pony-tail, so we opted for the bar, quaintly decorated with giant fly strips.

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

Instruction: 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']]


Input: When we first walked in, we saw other diners wiping their plates with bread- so we though that the food was good -but we very soon realized that the portions really were so small that you really have to lick your plate clean - afterall, their dinners costs a fortune.

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

Instruction: 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']]


Input: When our turn came to get in, we were told that the place was full due to the Labor Day weekend and we could not get inside unless we bought a 200$ bottle of vodka.

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

Instruction: 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']]


Input: South American additions to the menu, like perfectly fried green plantains and garlicky pork, are uniformly successful.

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

Instruction: 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']]


Input: The waiter did not take a drink order from us.

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

Instruction: 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']]


Input: I went there about three times, one for dinner on a sunday evening which is a salsa night after dinning, the service was slow and a bit rude, the plates average some shrimp octopus and empanadas.

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

Instruction: 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']]


Input: Get some drinks and listen to the free live music.

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

Instruction: 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']]


Input: I've been here several times for Sunday brunch now - (note: it helps if you're a late riser as I find the wait is always reasonable if you show up after 3pm).

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

Instruction: 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']]


Input: hard to work a buzz with the server taking so long between every round, but worth trying the signature african rum cocktail and happily surprised they had our favorite white - sancerre by the glass at this japanese restaurant.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: Why would anyone ever go here when the same food (and menu) is double the price of Baba and Jaya in Chinatown.

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

Instruction: 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']]


Input: While we were trying to have dinner, all of the waiters spent their time playing with spilled milk at the counter, not paying any attention to the diners.

Output: [['food', 'neutral'], ['staff', 'negative'], ['place', 'neutral']]

Instruction: 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']]


Input: 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.

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

Instruction: 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']]


Input: (they should if you are willing to spend $400 on dinner) if the owner of this restaurant saw how the staff was acting he would fire ALL of them.

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

Instruction: 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']]


Input: Sushi is consistently fresh, service pleasant Sushi rice is a bit hard.

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

Instruction: 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']]


Input: One example, I ordered an appetizer that was not prepared as the menu stated and had to argue with waitress to get it fixed.

Output: [['food', 'neutral'], ['menu', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: We ask the waiter where's the chocolate?

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

Instruction: 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']]


Input: Usually you lose food quality the trendier you go, but not at this place.

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

Instruction: 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']]


Input: The food was good but not worth the price.

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

Instruction: 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']]


Input: It is not a very stylish place, but we had some of the best Chinese food we ever had.

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

Instruction: 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']]


Input: Aged beef charred on the outside, red on the inside.

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

Instruction: 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']]


Input: The bar had a hip DJ and the crowd was ultra chic.

Output: [['place', 'neutral'], ['staff', 'positive'], ['miscellaneous', 'positive']]

Instruction: 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']]


Input: A cute restaurant and average food (with a small menu).

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

Instruction: 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']]


Input: The waiter never came by to check on us after the bus boy brought us our food.

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

Instruction: 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']]


Input: The waitstaff is nice, but is pushy and seemed irritated when we did not order an a la carte side vegetable (we already had a cheese plate, appetizers and ordered 2 entrees).

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

Instruction: 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']]


Input: Our waiter took our drink orders and never came back!

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

Instruction: 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']]


Input: After a show we had surperb steaks and had cocktails at the bar.

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

Instruction: 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']]


Input: The new server we had was surprisingly well-versed on the menu and gave really solid service.

Output: [['staff', 'positive'], ['menu', 'neutral'], ['service', 'positive']]

Instruction: 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']]


Input: The menu was small, but the food delicious.

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

Instruction: 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']]


Input: the solitary waitress was friendly though i found her service a little slow.

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

Instruction: 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']]


Input: Our waiter didn't know the menu or the ingredients.

Output: [['staff', 'negative'], ['menu', 'neutral'], ['ambience', 'neutral']]

Instruction: 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']]


Input: Later in the evening after our meal we finally found the real owner behind the bar of the restaurant and explained to him the situation which he had been made aware of by the waitress.

Output: [['food', 'neutral'], ['staff', 'negative'], ['place', 'neutral']]

Instruction: 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']]


Input: The bar was so crowded there was no point in ordering a drink, and when we were finally seated we got no service at all for 20 minutes.

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

Instruction: 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']]


Input: We politely asked our server for the regular menu, but were told that for large parties they could only offer us the banquet menu (would have gone elsewhere had we known).

Output: [['staff', 'negative'], ['menu', 'neutral']]

Instruction: 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']]


Input: The Scene Service bustles through the energetic, sprawling space with the precision of expert merengue dancers, and everyone else goes along with the flow suggested by the tall, curving ceilings.

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

Instruction: 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']]


Input: The ambience is diner-like and the wait staff is rushed, but at these prices, I can't complain.

Output: [['ambience', 'positive'], ['staff', 'negative'], ['price', 'positive']]

Instruction: 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']]


Input: But the place is so great that patrons don't mind waiting outside rather than go to another restaurant which you can find at least 10 in short walking distance.

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

Instruction: 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']]


Input: Then the menu is all in Italian well I don't speak Italian so it took forever for the waitress to translate.

Output: [['menu', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: It's really great to go in here and be able to get a creative cheap drink (they have things like blueberry mohitos for $4), a $4 plate of veggie spring rolls, and be able to joke with the bartender.

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

Instruction: 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']]


Input: After waiting for 90 minutes, the host gave away our table to a couple who arrived after us.

Output: [['service', 'negative'], ['staff', 'neutral'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: We started with some drinks on the front porch and then continued at our table with a bottle of delicious red wine.

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

Instruction: 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']]


Input: They need to expand the menu some, and offer additional toppings for the pizza.

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

Instruction: 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']]


Input: Its two massive rooms are frequented predominantly by Greeks who chow down on traditional mezze--spinach pie, feta cheese and stuffed grape leaves--and entrees--kebabs, sandwiches and pasta dishes.

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

Instruction: 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']]


Input: (They even let us bring our own cake for the event, which many restaurants may not allow you too) They food was good as I only sampled so I can't really comment.

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

Instruction: 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']]


Input: I asked the waiter about the vintages of the wines, to which he replied, I don't know, probably 2003/2004.

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

Instruction: 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']]


Input: The filet was NOT on the menu, but my friend had the bouillabaisse, which he found delicious.

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

Instruction: 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']]


Input: We tried explaining nicely to them that we were just finishing up a drink, and after a brief, unprofessional discussion with the two waiters, they told us never to come back again.

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

Instruction: 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']]


Input: A friend of mine and I bumped into this restaurant last week and it didn't look like any special place on the outside, but when we looked at the menu we decided to give it a try.

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

Instruction: 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']]


Input: The desserts were both essentially the same, and the service was on the slow side.

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

Instruction: 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']]


Input: For Manhattanites like us that are used to pretentious attitudes and expensive tabs, this place is definitely a nice change from the rest of the meatpacking district.

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

Instruction: 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']]


Input: Althought the menu is more expensive than your average Mexican restaurant, it is not more expensive than any other hip, increadibly well designed, bar scene and dining room in Manhattan -could be less in fact.

Output: [['menu', 'neutral'], ['miscellaneous', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: Tried it again for brunch, when the service was worse.

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

Instruction: 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']]


Input: The manager sent us a complimentary glass of wine for the steak not being cooked like he wanted.

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

Instruction: 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']]


Input: I guess if you order the chef's tasting menu, which is a seven course meal with an optional wine matching for $125pp then your tummy will be well satisfied.

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

Instruction: 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']]


Input: It is expensice, but the portions are big and include a side, salad, nan and rice along with your main meal!

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

Instruction: 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']]


Input: We explained that we had left a standard 15% on food, and a slightly smaller percentage on alcohol (At least 10%).

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

Instruction: 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']]


Input: We weren't sure we'd even get a table,surprisingly the lovely hostess assured us she'd get us in if we gave her 15 minutes in the bar.

Output: [['miscellaneous', 'neutral'], ['staff', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: If it's atmosphere you want go to the River Cafe under the bridges and pay an arm and a leg for hospital-type food.

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

Instruction: 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']]


Input: Even with our reservation, they had us waiting at the bar for over an hour.

Output: [['miscellaneous', 'neutral'], ['service', 'negative'], ['place', 'neutral']]

Instruction: 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']]


Input: Perhaps it's early and they will improve but service is VERY slow - took a good 25min for waiter to take our order on both visits and the second time I was one of three tables at a 5:30pm reservation so not like it was busy.

Output: [['service', 'negative'], ['staff', 'negative'], ['place', 'neutral'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: The menu is limited so I opted for the jalapeno potato soup and a romaine salad.

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

Instruction: 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']]


Input: was yelling at the rest of the waitstaff audibly enough that I was able to follow his entire tirade from where I sat in the secondary dining room.

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

Instruction: 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']]


Input: Ive personally tried almost everything on the menu and been amazed at the quality and presentation.

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

Instruction: 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']]


Input: My friend was looking forward to her favorite dish on the menu had made reservations for the 14 of us a few weeks beforehand.

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

Instruction: 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']]


Input: It's cheesy, great herbs,good bread and large slices But it's in a very dirty area, good for take out and bring it home kind of place.

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

Instruction: 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']]