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Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
Dmitry Davidov
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Oren Tsur
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Ari Rappoport
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
Sarcasm Detection on Czech and English Twitter
Tomáš Ptáček
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Ivan Habernal
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Jun Hong
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Chinese Irony Corpus Construction and Ironic Structure Analysis
Yi-jie Tang
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Hsin-Hsi Chen
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Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweets
Cynthia Van Hee
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Els Lefever
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Véronique Hoste
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Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases
Ashequl Qadir
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Ellen Riloff
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Are Word Embedding-based Features Useful for Sarcasm Detection?
Aditya Joshi
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Vaibhav Tripathi
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Kevin Patel
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Pushpak Bhattacharyya
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Mark Carman
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Modelling Irony in Twitter
Francesco Barbieri
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Horacio Saggion
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Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study
Jihen Karoui
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Farah Benamara
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Véronique Moriceau
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Viviana Patti
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Cristina Bosco
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Nathalie Aussenac-Gilles
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Getting Reliable Annotations for Sarcasm in Online Dialogues
Reid Swanson
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Stephanie Lukin
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Luke Eisenberg
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Thomas Corcoran
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Marilyn Walker
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Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous
Cristina Bosco
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Mirko Lai
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Viviana Patti
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Daniela Virone
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Exploring the Realization of Irony in Twitter Data
Cynthia Van Hee
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Els Lefever
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Véronique Hoste
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Sarcasm Target Identification: Dataset and An Introductory Approach
Aditya Joshi
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Pranav Goel
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Pushpak Bhattacharyya
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Mark Carman
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Identifying Sarcasm in Twitter: A Closer Look
Roberto González-Ibáñez
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Smaranda Muresan
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Nina Wacholder
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Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning
Song Feng
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Jun Seok Kang
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Polina Kuznetsova
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Yejin Choi
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Unsupervised joke generation from big data
Saša Petrović
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David Matthews
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Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)
Byron C. Wallace
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Do Kook Choe
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Laura Kertz
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Eugene Charniak
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Towards a Contextual Pragmatic Model to Detect Irony in Tweets
Jihen Karoui
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Farah Benamara Zitoune
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Véronique Moriceau
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Nathalie Aussenac-Gilles
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Lamia Hadrich Belguith
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SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov
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Sara Rosenthal
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Zornitsa Kozareva
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Veselin Stoyanov
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Alan Ritter
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Theresa Wilson
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AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker
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George Erhart
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David Skiba
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Valentine Matula
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SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal
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Alan Ritter
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Preslav Nakov
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Veselin Stoyanov
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SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee
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Els Lefever
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Véronique Hoste
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How can you say such things?!?: Recognizing Disagreement in Informal Political Argument
Rob Abbott
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Marilyn Walker
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Pranav Anand
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Jean E. Fox Tree
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Robeson Bowmani
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Joseph King
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Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online Dialogue
Stephanie Lukin
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Marilyn Walker
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Bootstrapped Learning of Emotion Hashtags #hashtags4you
Ashequl Qadir
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Ellen Riloff
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An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews
Konstantin Buschmeier
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Philipp Cimiano
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Roman Klinger
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Modelling Sarcasm in Twitter, a Novel Approach
Francesco Barbieri
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Horacio Saggion
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Francesco Ronzano
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A Unified Topic-Style Model for Online Discussions
Ying Ding
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Jing Jiang
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Qiming Diao
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Towards Tracking Political Sentiment through Microblog Data
Yu Wang
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Tom Clark
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Jeffrey Staton
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Eugene Agichtein
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Twitter Users #CodeSwitch Hashtags! #MoltoImportante #wow
David Jurgens
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Stefan Dimitrov
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Derek Ruths
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Deep Learning for User Comment Moderation
John Pavlopoulos
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Prodromos Malakasiotis
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Ion Androutsopoulos
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http://tinysong.com/cO6i
http://developer.yahoo.com/search/boss
https://www.mturk.com/mturk/welcome
Field Of Study
Linguistic Trends
Discourse
Pragmatics
Syntax
Psycholinguistics
Task
Sentiment Analysis
Summarization
Language
English
Dataset
Twitter
Blogs
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