English

Authors

  • Natalia López Cortés University of Zaragoza

Keywords:

disambiguation, polysemy, nlp, contexto, ambigüedad

Abstract

Babelfy (Moro, Raganato & Navigli, 2014) is an online tool, developed in the context of Natural Language Proccesing. When an item with more than one meaning is introduced in Babelfy, it chooses the appropriate meaning considering the context.  The objective of this research is to test the WSD (word sense disambiguation) skills of Babelfy in Spanish from a linguistic approach. To do so, a descriptive and comparative study between Babelfy and native Spanish speakers was carried out. 22 pairs of sentences with an ambiguous word were designed, one of which had a neutral context and another a facilitating one. These 22 sentence-pairs were introduced in Babelfy to check which meaning of the ambiguous word was selected and to see whether there were differences in WSD depending on the type of context. These results were then compared to the answers of 62 native Spanish speakers.  The data shows that the behaviour of speakers when encountering an ambiguous word is not equivalent to the way Babelfy performs WSD, especially when the context is neutral and the word has related meanings.

Author Biography

Natalia López Cortés, University of Zaragoza

Natalia López Cortés es Doctora en Lingüística Hispánica por la Universidad de Zaragoza. Su tesis doctoral analizó la naturaleza de las palabras ambiguas en español, desde un punto de vista tanto teórico como experimental. Desde 2016 pertenece al grupo de investigación Psylex (Lenguaje y cognición; UZ-DGA H11_17R), centrado en el estudio científico del lenguaje humano, y es miembro del proyecto de investigación Conceptos, estructuras y sonidos (CONESSO; FFI2017-82460-P). Sus áreas de interés principales son la investigación psicolingüística sobre el procesamiento del lenguaje, la estructura del lexicón mental y la interpretación subjetiva de la unidades léxicas. Además, le interesa la enseñanza de gramática en ámbito no universitario.

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Published

2022-01-31

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Section

Artículos Nuevos