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ORCIDSocialNLP@EMNLP 2016: Austin, TX, USA
- Lun-Wei Ku, Jane Yung-jen Hsu, Cheng-Te Li:
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, SocialNLP@EMNLP 2016, Austin, TX, USA, November 1, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-32-6 - Kevin Stowe, Michael J. Paul, Martha Palmer, Leysia Palen, Ken Anderson:
Identifying and Categorizing Disaster-Related Tweets. 1-6 - Erika Doggett, Alejandro Cantarero:
Identifying Eyewitness News-worthy Events on Twitter. 7-13 - Farig Sadeque, Ted Pedersen, Thamar Solorio, Prasha Shrestha, Nicolas Rey-Villamizar, Steven Bethard:
Why Do They Leave: Modeling Participation in Online Depression Forums. 14-19 - Mark Dredze, Nicholas Andrews, Jay DeYoung:
Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. 20-25 - Amit Navindgi
, Caroline Brun, Cécile Boulard Masson, Scott Nowson:
Steps Toward Automatic Understanding of the Function of Affective Language in Support Groups. 26-33 - Sunghwan Mac Kim, Stephen Wan, Cécile Paris:
Detecting Social Roles in Twitter. 34-40 - Siddharth Jain:
Identifying Sensible Participants in Online Discussions. 41-47 - Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel:
emoji2vec: Learning Emoji Representations from their Description. 48-54 - Hao Fang, Hao Cheng, Mari Ostendorf:
Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online Discussions. 55-64 - Rui Fang, Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Quanzhi Li:
Witness Identification in Twitter. 65-73 - Yu-Lun Hsieh, Yung-Chun Chang, Chun-Han Chu, Wen-Lian Hsu:
How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles. 74-83 - Aaron Jaech, George Mulcaire, Shobhit Hathi, Mari Ostendorf, Noah A. Smith:
Hierarchical Character-Word Models for Language Identification. 84-93 - Nikolaos Pappas, Andrei Popescu-Belis:
Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced Annotations. 94-100
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