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 |