Posters
- D. Bahdanau, K. Cho, and Y. Bengio. Neural Machine Translation by Jointly Learning to Align and Translate.
- D. Belanger and S. Kakade. Embedding Word Tokens using a Linear Dynamical System.
- C. Cortes, V. Kuznetsov, and M. Mohri. Boosting Ensembles of Structured Prediction Rules.
- M. Derezinski and K Rohanimanesh. An Information Theoretic Approach to Quantifying Text Interestingness.
- A. Hefny, A. Dubey, S.J. Reddi, and G.J. Gordon. Integrating Transition-based and Graph-based Parsing Using Integer Linear Programming.
- I.B. Fidaner and A.T. Cemgil. Clustering Words by Projection Entropy.
- G. Forgues, J. Pineau, J.M. Larcheveque, and R. Tremblay. Bootstrapping Dialog Systems with Word Embeddings.
- F. Godin, B. Vandersmissen, A. Jalalvand, W. De Neve, and R. Van de Walle. Alleviating Manual Feature Engineering for Part-of-Speech Tagging of Twitter Microposts using Distributed Word Representations.
- L.A. Hannah and H.M. Wallach. Summarizing Topics: From Word Lists to Phrases.
- C. Hardmeier, J. Tiedemann and J. Nivre. Translating Pronouns with Latent Anaphora Resolution.
- X. Liu, K. Duh, T. Iwakura and Y. Matsumoto. Learning Character Representations for Chinese Word Segmentation.
- X.V. Lin, S. Singh, L. He, B. Taskar, and L. Zettlemoyer. Multi-Label Learning with Posterior Regularization.
- E. Strubell, L. Vilnis, and A. McCallum. Training for Fast Sequential Prediction Using Dynamic Feature Selection.
- L. Yeganova, S. Kim, and W.J. Wilbur. Analyzing Medline Topics with a Projection Method.
- S. Yoon, S. Lee, and B. Zhang. Predictive Property of Hidden Representations in Recurrent Neural Network Language Models.