Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization

14 Jun 2016  ·  Akanksha, Jacob Eisenstein ·

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. read more

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