Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

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Swayamdipta, Swabha; Ballesteros, Miguel; Dyer, Chris; Smith, Noah A.;
(2016)
  • Subject: Computer Science - Computation and Language | Computer Science - Artificial Intelligence

We present a transition-based parser that jointly produces syntactic and semantic dependencies. It learns a representation of the entire algorithm state, using stack long short-term memories. Our greedy inference algorithm has linear time, including feature extraction. ... View more
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