Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Sarcasm Detection in Twitter: "All Your Products Are Incredibly Amazing!!!" - Are They Really?
Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.
Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection
Towards a Contextual Pragmatic Model to Detect Irony in Tweets
A deep learning approach for identifying sarcasm in text
icwsm - a great catchy name : semi - supervised recognition of sarcastic sentences in online product reviews .
A Sarcasm Extraction Method Based on Patterns of Evaluation Expressions
Sarcasm Detection in Chinese Using a Crowdsourced Corpus
Sarcasm Analysis Using Conversation Context
SemEval-2018 Task 3: Irony Detection in English Tweets
Deep contextualized word representations for detecting sarcasm and irony
a study on sarcasm detection algorithms .
Sarcasm Detection in Product Reviews using Sentence Scale Sentiment Change with Recurrent Neural Networks Submitted in Partial Fulfillment of the Requirements for CS 886
Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter
EmpaTweet: Annotating and Detecting Emotions on Twitter
Scam Detection in Twitter
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
A :) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets
Modelling Irony in Twitter: Feature Analysis and Evaluation
Irony Detection in Twitter: The Role of Affective Content
Natural language processing based features for sarcasm detection: An investigation using bilingual social media texts
iTTVis: Interactive Visualization of Table Tennis Data
Composing tree graphical models with persistent homology features for clustering mixed-type data
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
Keying Hash Functions for Message Authentication
Fine-Grained Crowdsourcing for Fine-Grained Recognition