Analysis of definitions of verbs in an explanatory dictionary for automatic extraction of actants based on detection of patterns

Noé Alejandro Castro-Sánchez, Grigori Sidorov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Due to the importance that verbs have in language an identification of their actants (obligatory complements) is important for understanding of the meaning of sentences. Usually, the solution of this problem in natural language processing is based on machine learning approaches, which are trained on large sets of tagged texts. We show that it is possible to work with other kind of sources, i.e., explanatory dictionaries. Dictionary definitions have patterns that provide enough information for identifying actants. We develop a heuristic approach in order to obtain this information and developed an algorithm for detection of actants in texts.

Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems - 15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010, Proceedings
Pages233-239
Number of pages7
DOIs
StatePublished - 2010
Externally publishedYes
Event15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010 - Cardiff, United Kingdom
Duration: 23 Jun 201025 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6177 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010
Country/TerritoryUnited Kingdom
CityCardiff
Period23/06/1025/06/10

Keywords

  • actants extraction
  • definition pattern
  • explanatory dictionary

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