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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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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
COLING |
Citations
URL
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
Soujanya Poria
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Erik Cambria
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Devamanyu Hazarika
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Prateek Vij
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A Large Self-Annotated Corpus for Sarcasm
Mikhail Khodak
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Nikunj Saunshi
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Kiran Vodrahalli
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Reasoning with Sarcasm by Reading In-Between
Yi Tay
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Anh Tuan Luu
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Siu Cheung Hui
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Jian Su
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LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony Detection
Bilal Ghanem
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Francisco Rangel
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Paolo Rosso
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WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony
Omid Rohanian
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Shiva Taslimipoor
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Richard Evans
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Ruslan Mitkov
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INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter
Delia Irazú Hernández Farías
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Fernando Sánchez-Vega
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Manuel Montes-y-Gómez
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Paolo Rosso
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Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection
Nishant Nikhil
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Muktabh Mayank Srivastava
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#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets
Endang Wahyu Pamungkas
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Viviana Patti
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http://creativecommons.org/licenses/by/4.0/
http://liks.fav.zcu.cz/
http://creativecommons.org/licenses/by-nc-sa/3.0/
http://www.mturk.com
http://code.google.com/p/jlangdetect/
http://liks.fav.zcu.cz/sarcasm/
Field Of Study
Linguistic Trends
Morphology
Task
Tagging
Sentiment Analysis
Approach
Semi-supervised Learning
Language
English
Dataset
News
Social Media
Twitter
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