Extracting compound terms from domain corpora
The need for domain ontologies motivates the research on structured information extraction from texts. A foundational part of this process is the identification of domain relevant compound terms. This paper presents an evaluation of compound terms extraction from a corpus of the domain of Pediatrics...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2010 |
| País: | Brasil |
| Recursos: | Universidade Federal do Rio Grande do Sul (UFRGS) |
| Repositório: | Repositório Institucional da UFRGS |
| Idioma: | inglês |
| OAI Identifier: | oai:www.lume.ufrgs.br:10183/174302 |
| Acesso em linha: | http://hdl.handle.net/10183/174302 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Ontologia Terminologia Term extraction Statistical and linguistic methods Ontology automatic construction Extraction from corpora |
| Resumo: | The need for domain ontologies motivates the research on structured information extraction from texts. A foundational part of this process is the identification of domain relevant compound terms. This paper presents an evaluation of compound terms extraction from a corpus of the domain of Pediatrics. Bigrams and trigrams were automatically extracted from a corpus composed by 283 texts from a Portuguese journal, Jornal de Pediatria, using three different extraction methods. Considering that these methods generate an elevated number of candidates, we analyzed the quality of the resulting terms according to different methods and cut-off points. The evaluation is reported by metrics such as precision, recall and f-measure, which are computed on the basis of a hand-made reference list of domain relevant compounds. |
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