A noisy-channel approach to question answering

  • Authors:
  • Abdessamad Echihabi;Daniel Marcu

  • Affiliations:
  • University of Southern California, Marina Del Rey, CA;University of Southern California, Marina Del Rey, CA

  • Venue:
  • ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
  • Year:
  • 2003

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Abstract

We introduce a probabilistic noisy-channel model for question answering and we show how it can be exploited in the context of an end-to-end QA system. Our noisy-channel system outperforms a state-of-the-art rule-based QA system that uses similar resources. We also show that the model we propose is flexible enough to accommodate within one mathematical framework many QA-specific resources and techniques, which range from the exploitation of WordNet, structured, and semi-structured databases to reasoning, and paraphrasing.