Papers
Recognizing Textual Entailment Using Probabilistic Inference
Lei Sha, Sujian Li, Baobao Chang et al.
Reading Documents for Bayesian Online Change Point Detection
Taehoon Kim, Jaesik Choi
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li, Jun Zhu, Chunyan Miao
Posterior calibration and exploratory analysis for natural language processing models
Khanh Nguyen, Brendan O’Connor
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
Hua He, Kevin Gimpel, Jimmy Lin
Molding CNNs for text: non-linear, non-consecutive convolutions
Tao Lei, Regina Barzilay, Tommi Jaakkola
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
Jingwei Zhang, Aaron Gerow, Jaan Altosaar et al.
Conversation Trees: A Grammar Model for Topic Structure in Forums
Annie Louis, Shay B. Cohen
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Jianpeng Cheng, Dimitri Kartsaklis
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
Wang Ling, Chris Dyer, Alan W Black et al.
A Utility Model of Authors in the Scientific Community
Yanchuan Sim, Bryan Routledge, Noah A. Smith
Representing Text for Joint Embedding of Text and Knowledge Bases
Kristina Toutanova, Danqi Chen, Patrick Pantel et al.
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction
Matt Gardner, Tom Mitchell
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities
Yevgeni Berzak, Andrei Barbu, Daniel Harari et al.
Solving Geometry Problems: Combining Text and Diagram Interpretation
Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi et al.
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar
Junhui Li, Muhua Zhu, Wei Lu et al.
Joint A* CCG Parsing and Semantic Role Labelling
Mike Lewis, Luheng He, Luke Zettlemoyer
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings
Pengfei Liu, Shafiq Joty, Helen Meng
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
Duyu Tang, Bing Qin, Ting Liu
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong, Hieu Pham, Christopher D. Manning
A Comparison between Count and Neural Network Models Based on Joint Translation and Reordering Sequences
Andreas Guta, Tamer Alkhouli, Jan-Thorsten Peter et al.
Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation
Xing Wang, Deyi Xiong, Min Zhang
Improving Statistical Machine Translation with a Multilingual Paraphrase Database
Ramtin Mehdizadeh Seraj, Maryam Siahbani, Anoop Sarkar
An Improved Non-monotonic Transition System for Dependency Parsing
Matthew Honnibal, Mark Johnson
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention
Wang Ling, Chu-Cheng Lin, Yulia Tsvetkov et al.