Aprendizaje competitivo LVQ para la desambiguación léxica

1. Martín Valdivia, María Teresa
2. García Vega, Manuel
3. Ureña López, Luis Alfonso

Exportar

Exportar

×

MLA

modern-language-association

APA

apa

Chicago

chicago-fullnote-bibliography

Harvard

harvard-cite-them-right

Vancouver

vancouver-author-date

---

RIS BibTex

Exportar

×

Non se pode exportar o documento porque pertence a outro portal.

Texto completo

lock_openRUA externo

DIALNET GOOGLE SCHOLAR lock_openRUA editor

Outras publicacións en: Procesamiento del lenguaje natural

Resumo

Word Sense Disambiguation improves several tasks of Natural Language Processing. We present a supervised disambiguator based on Vector Space Model, where its weights are trained with a learning vector quantization algorithm based on the Kohonen Model (LVQ algorithm) and using different semantic relations of WordNet and SemCor corpus. We also include an evaluation making a simulation of participation in SENSEVAL-2, obtaining a good position.

Fonte de datos: Dialnet