Discourse Complements Lexical Semantics for Non-factoid Answer Reranking

@inproceedings{Jansen2014DiscourseCL,
  title={Discourse Complements Lexical Semantics for Non-factoid Answer Reranking},
  author={Peter Jansen and Mihai Surdeanu and Peter Clark},
  booktitle={ACL},
  year={2014}
}
We propose a robust answer reranking model for non-factoid questions that integrates lexical semantics with discourse information, driven by two representations of discourse: a shallow representation centered around discourse markers, and a deep one based on Rhetorical Structure Theory. We evaluate the proposed model on two corpora from different genres and domains: one from Yahoo! Answers and one from the biology domain, and two types of non-factoid questions: manner and reason. We… CONTINUE READING

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  • We experimentally demonstrate that the discourse structure of nonfactoid answers provides information that is complementary to lexical semantic similarity between question and answer, improving performance up to 24% (relative) over a state-of-the-art model that exploits lexical semantic similarity alone.

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