| Journal: | Computación y sistemas |
| Database: | PERIÓDICA |
| System number: | 000395005 |
| ISSN: | 1405-5546 |
| Authors: | Markov, Ilia1 Mamede, Nuno2 Baptista, Jorge3 |
| Institutions: | 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 |
| Year: | 2015 |
| Season: | Oct-Dic |
| Volumen: | 19 |
| Number: | 4 |
| Pages: | 661-683 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico |
| English abstract | 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 |
| Disciplines: | Ciencias de la computación |
| Keyword: | 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 |
| Full text: | Texto completo (Ver PDF) |
