Using the Web to Validate Lexico-Semantic Relations

  • Hernani Pereira Costa
  • Hugo Gonçalo Oliveira
  • Paulo Gomes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7026)

Abstract

The evaluation of semantic relations acquired automatically from text is a challenging task, which generally ends up being done by humans. Despite less prone to errors, manual evaluation is hardly repeatable, time-consuming and sometimes subjective. In this paper, we evaluate relational triples automatically, exploiting popular similarity measures on the Web. After using these measures to quantify triples according to the co-occurrence of their arguments and textual patterns denoting their relation, some scores revealed to be highly correlated with the correction rate of the triples. The measures were also used to select correct triples in a set, with best F 1 scores around 96%.

Keywords

Semantic Relation Textual Pattern Computational Linguistics Good Pattern Wrong Relation 
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 2011

Authors and Affiliations

  • Hernani Pereira Costa
    • 1
  • Hugo Gonçalo Oliveira
    • 1
  • Paulo Gomes
    • 1
  1. 1.Cognitive and Media Systems Group, CISUCUniversity of CoimbraPortugal

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