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

@article{Ballesteros2015ImprovedTP,
  title={Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs},
  author={Miguel Ballesteros and Chris Dyer and Noah A. Smith},
  journal={ArXiv},
  year={2015},
  volume={abs/1508.00657}
}
We present extensions to a continuousstate dependency parsing method that makes it applicable to morphologically rich languages. [...] Key Method Starting with a highperformance transition-based parser that uses long short-term memory (LSTM) recurrent neural networks to learn representations of the parser state, we replace lookup-based word representations with representations constructed from the orthographic representations of the words, also using LSTMs.Expand
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References

SHOWING 1-10 OF 67 REFERENCES
Structured Training for Neural Network Transition-Based Parsing
  • 205
  • PDF
Transition-based Dependency Parsing Using Recursive Neural Networks
  • 34
  • PDF
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing
  • 88
  • PDF
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation
  • 532
  • PDF
Joint Morphological and Syntactic Analysis for Richly Inflected Languages
  • 107
  • PDF
Chinese Parsing Exploiting Characters
  • 67
  • PDF
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
  • 3,254
  • Highly Influential
  • PDF
...
1
2
3
4
5
...