Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs

Conference object, Preprint English OPEN
Ballesteros, Miguel; Dyer, Chris; Smith, Noah A.;
  • Publisher: Association for Computational Linguistics
  • Related identifiers: doi: 10.18653/v1/d15-1041
  • Subject: Computer Science - Computation and Language | Anàlisi automàtica (Lingüística) | Lingüística computacional | Tractament del llenguatge natural (Informàtica)

We present extensions to a continuous-state dependency parsing method that makes it applicable to morphologically rich languages. Starting with a high-performance transition-based parser that uses long short-term memory (LSTM) recurrent neural networks to learn represen... View more
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