The role of lexico-semantic feedback in open-domain textual question-answering

  • Authors:
  • Sanda Harabagiu;Dan Moldovan;Marius Paşca;Rada Mihalcea;Mihai Surdeanu;Rǎzvan Bunescu;Roxana Gîrju;Vasile Rus;Paul Morǎrescu

  • Affiliations:
  • Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX;Southern Methodist University, Dallas, TX

  • Venue:
  • ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
  • Year:
  • 2001

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Abstract

This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statistical results with syntactic, semantic or pragmatic information derived from texts and lexical databases. The paper presents the contribution of each feedback loop to the overall performance of 76% human-assessed precise answers.