Papers
Weakly Supervised Role Identification in Teamwork Interactions
Diyi Yang, Miaomiao Wen, Carolyn Rosé
Who caught a cold ? - Identifying the subject of a symptom
Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki et al.
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game
Vlad Niculae, Srijan Kumar, Jordan Boyd-Graber et al.
Why discourse affects speakers’ choice of referring expressions
Naho Orita, Eliana Vornov, Naomi Feldman et al.
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns
Oren Tsur, Dan Calacci, David Lazer
Unsupervised Prediction of Acceptability Judgements
Jey Han Lau, Alexander Clark, Shalom Lappin
Predicting Salient Updates for Disaster Summarization
Chris Kedzie, Kathleen McKeown, Fernando Diaz
Joint Graphical Models for Date Selection in Timeline Summarization
Giang Tran, Eelco Herder, Katja Markert
Abstractive Multi-Document Summarization via Phrase Selection and Merging
Lidong Bing, Piji Li, Yi Liao et al.
Neural Responding Machine for Short-Text Conversation
Lifeng Shang, Zhengdong Lu, Hang Li
genCNN: A Convolutional Architecture for Word Sequence Prediction
Mingxuan Wang, Zhengdong Lu, Hang Li et al.
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai, Richard Socher, Christopher D. Manning
A Data-Driven, Factorization Parser for CCG Dependency Structures
Yantao Du, Weiwei Sun, Xiaojun Wan
Optimal Shift-Reduce Constituent Parsing with Structured Perceptron
Le Quang Thang, Hiroshi Noji, Yusuke Miyao
Parsing as Reduction
Daniel Fernández-González, André F. T. Martins
Adding Semantics to Data-Driven Paraphrasing
Ellie Pavlick, Johan Bos, Malvina Nissim et al.
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
Quan Liu, Hui Jiang, Si Wei et al.
Sparse Overcomplete Word Vector Representations
Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama et al.
Graph parsing with s-graph grammars
Jonas Groschwitz, Alexander Koller, Christoph Teichmann
Compositional Semantic Parsing on Semi-Structured Tables
Panupong Pasupat, Percy Liang
A Computationally Efficient Algorithm for Learning Topical Collocation Models
Zhendong Zhao, Lan Du, Benjamin Börschinger et al.
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts
Dana Movshovitz-Attias, William W. Cohen
Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik et al.
Transferring Coreference Resolvers with Posterior Regularization
André F. T. Martins
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
Sam Wiseman, Alexander M. Rush, Stuart Shieber et al.