Open Access

Extracting compound terms from domain corpora

  • Lucelene Lopes1Email author,
  • Renata Vieira1,
  • Maria José Finatto2 and
  • Daniel Martins1
Journal of the Brazilian Computer Society201016:20

https://doi.org/10.1007/s13173-010-0020-4

Received: 10 February 2010

Accepted: 1 August 2010

Published: 20 August 2010

Abstract

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.

Keywords

Term extraction Statistical and linguistic methods Ontology automatic construction Extraction from corpora