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Greedy Transition-Based Dependency Parsing with Stack LSTMs

We introduce a greedy transition-based parser that learns to represent parser states using recurrent neural networks. Our primary innovation that enables us to do this efficiently is a new control structure for sequential neural networks—the stack long short-term memory unit (LSTM). Like the convent...

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Príomhchruthaitheoirí: Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: The MIT Press 2017-03-01
Sraith:Computational Linguistics
Rochtain ar líne:http://dx.doi.org/10.1162/coli_a_00285
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