Proceedings of the Workshop on Structured Prediction for NLP

Kai-Wei Chang, Ming-Wei Chang, Alexander Rush, Vivek Srikumar (Editors)



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Proceedings of the Workshop on Structured Prediction for NLP
Kai-Wei Chang | Ming-Wei Chang | Alexander Rush | Vivek Srikumar

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Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)
Jason Eisner

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Research on attention memory networks as a model for learning natural language inference
Zhuang Liu | Degen Huang | Jing Zhang | Kaiyu Huang

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A Joint Model of Rhetorical Discourse Structure and Summarization
Naman Goyal | Jacob Eisenstein

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Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints
Kartik Goyal | Chris Dyer

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A Study of Imitation Learning Methods for Semantic Role Labeling
Travis Wolfe | Mark Dredze | Benjamin Van Durme

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Introducing DRAIL – a Step Towards Declarative Deep Relational Learning
Xiao Zhang | Maria Leonor Pacheco | Chang Li | Dan Goldwasser

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Unsupervised Neural Hidden Markov Models
Ke M. Tran | Yonatan Bisk | Ashish Vaswani | Daniel Marcu | Kevin Knight