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Applying RST Relations to Semantic Search

  • Nguyen Thanh Tri
  • Akira Shimazu
  • Le Cuong Anh
  • Nguyen Minh Le
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)

Abstract

This paper proposes a new way of extracting answers to some kinds of queries based on Rhetorical Structure Theory (RST). For each type of question, we assign one or more rhetorical relations that help extract the corresponding answers. We use ternary expressions which are successfully applied in the well-known question answering system START to represent text segments, index documents and queries. The cosine measure is used in the matching process. The experiment with RST Discourse Treebank shows that the results of ternary-expression-based indexing are better than those of keyword-based indexing.

Keywords

Question Type Text Segment Factual Question Cosine Measure Index Document 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nguyen Thanh Tri
    • 1
  • Akira Shimazu
    • 1
  • Le Cuong Anh
    • 1
  • Nguyen Minh Le
    • 1
  1. 1.School of Information ScienceJapan Advanced Institute of Science and TechnologyNomi, IshikawaJapan

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