Using a Heterogeneous Linguistic Network for Word Sense Induction and Disambiguation



Título del documento: Using a Heterogeneous Linguistic Network for Word Sense Induction and Disambiguation
Revista: Computación y sistemas
Base de datos: PERIÓDICA
Número de sistema: 000411051
ISSN: 1405-5546
Autors: 1
1
1
Institucions: 1University Lumiere Lyon 2, Lyon, Rhone-Alpes. Francia
Any:
Període: Jul-Sep
Volum: 20
Número: 3
Paginació: 315-325
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés Linguistic Networks are structures that allow us to model the characteristics of human language through a graph-like schema. This kind of modelization has proven to be useful while dealing with natural language processing tasks. In this paper, we first present and discuss the state of the art of recent semantic relatedness methods from a network-centric point of view. That is, we are interested in the types of networks used to solve practical semantic tasks. In order to address some of the short-comings in the studied approaches, we propose a hybrid linguistic structure that takes into account lexical and syntactical language information. We show our model’s practicality with a proof of concept: we set to solve word sense disambiguation and induction while using the presented network schema. Our modelization aims to shed light into ways of combining distinct types of linguistic information in order to take advantage of each of its components’ unique characteristics
Disciplines Ciencias de la computación,
Literatura y lingüística
Paraules clau: Procesamiento de datos,
Lingüística aplicada,
Lingüística computacional,
Redes lingüísticas,
Desambiguación,
Representación hipergráfica,
Similitud semántica
Keyword: Computer science,
Literature and linguistics,
Data processing,
Applied linguistics,
Computing linguistics,
Linguistic networks,
Disambiguation,
Hypergraphs,
Semantic similarity
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