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ORCIDWorkshop on Structured Prediction for NLP@EMNLP 2016: Austin, TX, USA
- Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar:
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-29-6 - Jason Eisner:
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper). 1-17 - Zhuang Liu, Degen Huang, Jing Zhang, Kaiyu Huang:
Research on attention memory networks as a model for learning natural language inference. 18-24 - Naman Goyal, Jacob Eisenstein:
A Joint Model of Rhetorical Discourse Structure and Summarization. 25-34 - Kartik Goyal, Chris Dyer:
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints. 35-43 - Travis Wolfe, Mark Dredze, Benjamin Van Durme:
A Study of Imitation Learning Methods for Semantic Role Labeling. 44-53 - Xiao Zhang, Maria Leonor Pacheco
, Chang Li, Dan Goldwasser:
Introducing DRAIL - a Step Towards Declarative Deep Relational Learning. 54-62 - Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight:
Unsupervised Neural Hidden Markov Models. 63-71
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