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Tweet Sarcasm Detection Using Deep Neural Network
Meishan Zhang
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Yue Zhang
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Guohong Fu
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
Devamanyu Hazarika
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Soujanya Poria
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Sruthi Gorantla
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Erik Cambria
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Roger Zimmermann
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Rada Mihalcea
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Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal
Aniruddha Ghosh
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Tony Veale
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Representing Social Media Users for Sarcasm Detection
Y. Alex Kolchinski
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Christopher Potts
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A Genre-Aware Attention Model to Improve the Likability Prediction of Books
Suraj Maharjan
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Manuel Montes
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Fabio A. González
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Thamar Solorio
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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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The Impact of Figurative Language on Sentiment Analysis
Tomáš Hercig
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Ladislav Lenc
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IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media
Aniruddha Ghosh
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Tony Veale
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Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog
Shereen Oraby
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Vrindavan Harrison
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Amita Misra
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Ellen Riloff
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Marilyn Walker
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Deep contextualized word representations for detecting sarcasm and irony
Suzana Ilić
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Edison Marrese-Taylor
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Jorge Balazs
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Yutaka Matsuo
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https://github.com/zhangmeishan/SarcasmDetection
https://dev.twitter.com
http://nlp.stanford.edu/projects/glove/
Field Of Study
Linguistic Trends
Embeddings
Psycholinguistics
Task
Sentiment Analysis
Machine Translation
Language
English
Dataset
Social Media
Twitter
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