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Extracting compound terms from domain corpora

Journal of the Brazilian Computer Society volume 16, pages 247–259 (2010)Cite this article

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.

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Affiliations

  1. PPGCC, FACIN, PUCRS, Av. Ipiranga, 6681, Porto Alegre, Brazil

    Lucelene Lopes, Renata Vieira & Daniel Martins

  2. DECLAVE, IL, UFRGS, Av. Bento Gonçalves, Porto Alegre, Brazil

    Maria José Finatto

Authors
  1. Lucelene Lopes
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  2. Renata Vieira
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  3. Maria José Finatto
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  4. Daniel Martins
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Correspondence to Lucelene Lopes.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Lopes, L., Vieira, R., Finatto, M.J. et al. Extracting compound terms from domain corpora. J Braz Comput Soc 16, 247–259 (2010). https://doi.org/10.1007/s13173-010-0020-4

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Keywords

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