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Global models of document structure using latent permutations 

Chen, Harr; Branavan, Satchuthanan R.; Barzilay, Regina; Karger, David R. (Association for Computational Linguistics, 2009-06)
We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in a way that reflects the underlying ...
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Reinforcement Learning for Mapping Instructions to Actions 

Branavan, Satchuthanan R.; Chen, Harr; Zettlemoyer, Luke S.; Barzilay, Regina (Association for Computational Linguistics, 2009-08)
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function that defines the quality of the executed ...

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Author
Barzilay, Regina (2)
Branavan, Satchuthanan R. (2)
Chen, Harr (2)
Karger, David R. (1)Zettlemoyer, Luke S. (1)Subject
algorithms (2)
design (2)experimentation (2)languages (2)measurement (2)performance (2)... View MoreDate Issued2009 (2)Has File(s)Yes (2)

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