Recurrent Neural Network Grammars

@inproceedings{Dyer2016RecurrentNN,
  title={Recurrent Neural Network Grammars},
  author={Chris Dyer and Adhiguna Kuncoro and Miguel Ballesteros and Noah A. Smith},
  booktitle={HLT-NAACL},
  year={2016}
}
Comunicacio presentada a la 2016 Conference of the North American Chapter of the Association for Computational Linguistics, celebrada a San Diego (CA, EUA) els dies 12 a 17 de juny 2016. 

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References

Publications referenced by this paper.
SHOWING 1-10 OF 56 REFERENCES

Easy-First Dependency Parsing with Hierarchical Tree LSTMs

  • Transactions of the Association for Computational Linguistics
  • 2016
VIEW 1 EXCERPT