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Weakly Supervised User Profile Extraction from Twitter
Jiwei Li
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Alan Ritter
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Eduard Hovy
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
“All I know about politics is what I read in Twitter”: Weakly Supervised Models for Extracting Politicians’ Stances From Twitter
Kristen Johnson
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Dan Goldwasser
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Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts
Jiwei Li
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Alan Ritter
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Claire Cardie
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Eduard Hovy
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Improving Users’ Demographic Prediction via the Videos They Talk about
Yuan Wang
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Yang Xiao
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Chao Ma
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Zhen Xiao
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Using Social Networks to Improve Language Variety Identification with Neural Networks
Yasuhide Miura
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Tomoki Taniguchi
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Motoki Taniguchi
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Shotaro Misawa
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Tomoko Ohkuma
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Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach
William Yang Wang
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William W. Cohen
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Who caught a cold ? - Identifying the subject of a symptom
Shin Kanouchi
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Mamoru Komachi
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Naoaki Okazaki
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Eiji Aramaki
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Hiroshi Ishikawa
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Document-level Sentiment Inference with Social, Faction, and Discourse Context
Eunsol Choi
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Hannah Rashkin
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Luke Zettlemoyer
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Yejin Choi
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Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast
Svitlana Volkova
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Yoram Bachrach
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Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter
Kristen Johnson
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Di Jin
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Dan Goldwasser
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Annotating Geographical Entities on Microblog Text
Koji Matsuda
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Akira Sasaki
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Naoaki Okazaki
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Kentaro Inui
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Bekli:A Simple Approach to Twitter Text Normalization.
Russell Beckley
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Obfuscating Gender in Social Media Writing
Sravana Reddy
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Kevin Knight
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#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions
Anna Priante
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Djoerd Hiemstra
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Tijs van den Broek
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Aaqib Saeed
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Michel Ehrenhard
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Ariana Need
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Identifying Stance by Analyzing Political Discourse on Twitter
Kristen Johnson
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Dan Goldwasser
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Simple Queries as Distant Labels for Predicting Gender on Twitter
Chris Emmery
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Grzegorz Chrupała
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Walter Daelemans
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Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter
Zach Wood-Doughty
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Praateek Mahajan
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Mark Dredze
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https://www.facebook.com/
https://plus.google.com/
https://www.facebook.com/about/
https://developers.google.com/+/api/
https://twitter.com/search
http://wiki.freebase.com/wiki/
https://developers.facebook.com/docs/
http://www.freebase.com/
http://rtw.ml.cmu.edu/rtw/kbbrowser/
https://code.google.com/p/
http://www.abbreviations.com/
Field Of Study
Task
Relation Extraction
Sentiment Analysis
Coreference Resolution
Social Science
Approach
Structured Prediction
Dataset
News
Social Media
Twitter
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