Abstract is missing.
- Identifying and Categorizing Disaster-Related TweetsKevin Stowe, Michael J. Paul, Martha Palmer, Leysia Palen, Kenneth Anderson. 1-6 [doi]
- Identifying Eyewitness News-worthy Events on TwitterErika Doggett, Alejandro Cantarero. 7-13 [doi]
- Why Do They Leave: Modeling Participation in Online Depression ForumsFarig Sadeque, Ted Pedersen, Thamar Solorio, Prasha Shrestha, Nicolas Rey-Villamizar, Steven Bethard. 14-19 [doi]
- Twitter at the Grammys: A Social Media Corpus for Entity Linking and DisambiguationMark Dredze, Nicholas Andrews, Jay DeYoung. 20-25 [doi]
- Steps Toward Automatic Understanding of the Function of Affective Language in Support GroupsAmit Navindgi, Caroline Brun, Cécile Boulard Masson, Scott Nowson. 26-33 [doi]
- Detecting Social Roles in TwitterSunghwan Mac Kim, Stephen Wan 0001, Cécile Paris. 34-40 [doi]
- Identifying Sensible Participants in Online DiscussionsSiddharth Jain. 41-47 [doi]
- emoji2vec: Learning Emoji Representations from their DescriptionBen Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel 0001. 48-54 [doi]
- Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online DiscussionsHao Fang, Hao Cheng, Mari Ostendorf. 55-64 [doi]
- Witness Identification in TwitterRui Fang, Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Quanzhi Li. 65-73 [doi]
- How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News ArticlesYu-Lun Hsieh, Yung-Chun Chang, Chun-Han Chu, Wen-Lian Hsu. 74-83 [doi]
- Hierarchical Character-Word Models for Language IdentificationAaron Jaech, George Mulcaire, Shobhit Hathi, Mari Ostendorf, Noah A. Smith. 84-93 [doi]
- Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced AnnotationsNikolaos Pappas, Andrei Popescu-Belis. 94-100 [doi]