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DHPs: Dependency Hearst’s Patterns for Hypernym Relation Extraction

  • Ahmad Issa Alaa AldineEmail author
  • Mounira Harzallah
  • Giuseppe Berio
  • Nicolas Béchet
  • Ahmad Faour
Conference paper
  • 14 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1222)

Abstract

Hearst’s patterns are lexico-syntactic patterns that have been extensively used to extract hypernym relations from texts. They are defined as regular expressions based on lexical and syntactical information of each word. Here, we propose a new formulation of Hearst’s patterns using dependency parser, called Dependency Hearst’s Patterns (DHPs). They are defined as dependency patterns based on dependency relations between words. This formulation allows us to define more generic Hearst’s patterns that match better complex or ambiguous sentences. To evaluate our proposal, we have compared the performance of Dependency Hearst’s patterns to lexico-syntactic patterns: Hearst’s patterns and an extended set of Hearst’s patterns applied on two corpora: Music and English. Dependency Hearst’s patterns yield to a considerable improve in term of recall and a slight decrease in term of precision.

Keywords

Dependency Hearst’s Patterns Hypernym relation extraction Dependency relations 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ahmad Issa Alaa Aldine
    • 1
    • 3
    Email author
  • Mounira Harzallah
    • 2
  • Giuseppe Berio
    • 1
  • Nicolas Béchet
    • 1
  • Ahmad Faour
    • 3
  1. 1.University Bretagne Sud, IRISA LabVannesFrance
  2. 2.Nantes University, LS2N LabNantesFrance
  3. 3.Lebanese UniversityBeirutLebanon

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