Corpus ID: 14383462

Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization

@article{Akanksha2016ShallowDP,
  title={Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization},
  author={Akanksha and Jacob Eisenstein},
  journal={ArXiv},
  year={2016},
  volume={abs/1606.04503}
}

Akanksha, Jacob Eisenstein

Published 2016

Computer Science

ArXiv

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This paper describes the Georgia Tech team's approach to the CoNLL-2016 supplementary evaluation on discourse relation sense classification. We use long short-term memories (LSTM) to induce distributed representations of each argument, and then combine these representations with surface features in a neural network. The architecture of the neural network is determined by Bayesian hyperparameter search.