Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

@article{Kiperwasser2016SimpleAA,
  title={Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations},
  author={Eliyahu Kiperwasser and Yoav Goldberg},
  journal={TACL},
  year={2016},
  volume={4},
  pages={313-327}
}
We present a simple and effective scheme for dependency parsing which is based on bidirectional-LSTMs (BiLSTMs). Each sentence token is associated with a BiLSTM vector representing the token in its sentential context, and feature vectors are constructed by concatenating a few BiLSTM vectors. The BiLSTM is trained jointly with the parser objective, resulting in very effective feature extractors for parsing. We demonstrate the effectiveness of the approach by applying it to a greedy transition… CONTINUE READING

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