Two methods of evaluation of semantic similarity of nouns based on their modifier sets

Igor A. Bolshakov, Alexander Gelbukh

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

2 Citas (Scopus)

Resumen

Two methods of evaluation of semantic similarity/dissimilarity of English nouns are proposed based on their modifier sets taken from Oxford Collocation Dictionary for Student of English. The first method measures similarity by the portion of modifiers commonly applicable to both nouns under evaluation. The second method measures dissimilarity by the change of the mean value of cohesion between a noun and modifiers, its own or those of the contrasted noun. Cohesion between words is measured by Stable Connection Index (SCI) based of raw Web statistics for occurrences and co-occurrences of words. It is shown that the two proposed measures are approximately in inverse monotonic dependency, while the Web evaluations confer a higher resolution.

Idioma originalInglés
Título de la publicación alojadaNatural Language Processing and Information Systems - 12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007, Proceedings
EditorialSpringer Verlag
Páginas414-419
Número de páginas6
ISBN (versión impresa)3540733507, 9783540733508
DOI
EstadoPublicada - 2007
Evento12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007 - Paris, Francia
Duración: 27 jun. 200729 jun. 2007

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4592 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007
País/TerritorioFrancia
CiudadParis
Período27/06/0729/06/07

Huella

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