Paper	Authors
Unsupervised Neural Hidden Markov Models	Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, and Kevin Knight
Inside-Outside and Forward-Backward Algorithms Are Just Backprop	Jason Eisner
Research on attention memory networks as a model for learning natural language inference	Zhuang Liu, Degen Huang, Jing Zhang, and Kaiyu Huang
Joint Model of Rhetorical Discourse Structure and Summarization	Naman Goyal and Jacob Eisenstein
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks	Karthik Goyal and Chris Dyer
A Study of Imitation Learning Methods for Semantic Role Labeling	Travis Wolfe, Mark Dredze, and Benjamin Van Durme
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning	Xiao Zhang, Maria Leonor Pacheco, Chang Li, and Dan Goldwasser