| Revue: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000395005 |
| ISSN: | 1405-5546 |
| Autores: | Markov, Ilia1 Mamede, Nuno2 Baptista, Jorge3 |
| Instituciones: | 1Instituto Politécnico Nacional, Centro de Investigación en Computación, México, Distrito Federal. México 2Universidade de Lisboa, Instituto Superior Tecnico, Lisboa. Portugal 3Instituto de Engenharia de Sistemas e Computadores, Investigacao e Desenvolvimento em Lisboa, Laboratorio de Sistemas de Lingua Falada, Lisboa. Portugal |
| Año: | 2015 |
| Periodo: | Oct-Dic |
| Volumen: | 19 |
| Número: | 4 |
| Paginación: | 661-683 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico |
| Resumen en inglés | In this article, we improve the extraction of semantic relations between textual elements as it is currently performed by STRING, a hybrid statistical and rule-based Natural Language Processing (NLP) chain for Portuguese, by targeting whole-part relation (meronymy), that is, a semantic relation between two entities of which one is perceived as a constituent part of the other, or between a set and its member. In this case, we focus on the type of meronymy involving human entities and body-part nouns (Nbp) (e.g., O Pedro partiu uma perna 'Pedro broke a leg': WHOLE-PART (Pedro, perna) WHOLE-PART (Pedro, leg) '). In orderto extract this type of whole-part relations, a rule-based meronymy extraction module has been built and integrated in the grammar of the STRING system. The module was evaluated with promising results |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial, Procesamiento de datos, Lingüística aplicada, Procesamiento de lenguaje natural, Semántica, Cuerpo humano, Meronimia, Portugués |
| Keyword: | Computer science, Artificial intelligence, Data processing, Applied linguistics, Natural language processing, Semantics, Human body, Meronymy, Portuguese |
| Texte intégral: | Texto completo (Ver PDF) |
