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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

11 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaNatural Language Processing and Information Systems - 15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010, Proceedings
Páginas233-239
Número de páginas7
DOI
EstadoPublicada - 2010
Publicado de forma externa
Evento15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010 - Cardiff, Reino Unido
Duración: 23 jun. 201025 jun. 2010

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen6177 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010
País/TerritorioReino Unido
CiudadCardiff
Período23/06/1025/06/10

Huella

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