Deep Enhanced Representation for Implicit Discourse Relation Recognition

@inproceedings{Bai2018DeepER,
  title={Deep Enhanced Representation for Implicit Discourse Relation Recognition},
  author={Hongxiao Bai and Hai Zhao},
  booktitle={COLING},
  year={2018}
}
Implicit discourse relation recognition is a challenging task as the relation prediction without explicit connectives in discourse parsing needs understanding of text spans and cannot be easily derived from surface features from the input sentence pairs. Thus, properly representing the text is very crucial to this task. In this paper, we propose a model augmented with different grained text representations, including character, subword, word, sentence, and sentence pair levels. The proposed… CONTINUE READING
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Key Quantitative Results

  • The proposed deeper model is evaluated on the benchmark treebank and achieves stateof-the-art accuracy with greater than 48% in 11-way and F1 score greater than 50% in 4-way classifications for the first time according to our best knowledge.

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