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Keyword Extraction from Dialogue Sentences Using Semantic and Topical Relatedness

  • Yunseok Noh
  • Jeong-Woo Son
  • Seong-Bae Park
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8226)

Abstract

Dialogue reflects interests of the participants at that moment. Thus, it is desirable to extract keywords from each dialogue sentence as soon as they are spoken, because the keywords from dialogue can be used for various fields importantly such as personal assistant services, advertisement, and so on. This paper proposes a novel method of keyword extraction from dialogue sentences. The proposed method determines a word as a keyword by using semantic information of words in a dialogue sentence. That is, the proposed method extracts the keywords that are more semantically important within their sentences and more topically related to the dialogue. In the experiments on the ICSI meeting corpus, the proposed method achieves the state-of-the-art performance.

Keywords

Keyword extraction Dialogue sentences Semantic relatedness 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yunseok Noh
    • 1
  • Jeong-Woo Son
    • 1
  • Seong-Bae Park
    • 1
  1. 1.School of Computer Science and EngineeringKyungpook National UniversityKorea

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