A comparative evaluation of term recognition algorithms

Ziqi Zhang, José Iria, Christopher Brewster, Fabio Ciravegna

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Automatic Term Recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies available in the literature only a few are able to handle both single and multi-word terms. In this paper we present a comparison of five such algorithms and propose a combined approach using a voting mechanism. We evaluated the six approaches using two different corpora and show how the voting algorithm performs best on one corpus (a collection of texts from Wikipedia) and less well using the Genia corpus (a standard life science corpus). This indicates that choice and design of corpus has a major impact on the evaluation of term recognition algorithms. Our experiments also showed that single-word terms can be equally important and occupy a fairly large proportion in certain domains. As a result, algorithms that ignore single-word terms may cause problems to tasks built on top of ATR. Effective ATR systems also need to take into account both the unstructured text and the structured aspects and this means information extraction techniques need to be integrated into the term recognition process.
Original languageEnglish
Title of host publicationProceedings of the Sixth International Conference on Language Resources and Evaluation (LREC08)
Pages2108-2111
Number of pages6
Publication statusPublished - May 2008
Event6th International Conference on Language Resources and Evaluation - Marrakech, Morocco
Duration: 1 May 2008 → …

Conference

Conference6th International Conference on Language Resources and Evaluation
Abbreviated titleLREC 2008
CountryMorocco
CityMarrakech
Period1/05/08 → …

Keywords

  • automatic term recognition
  • ATR
  • semantic search
  • ontology learning

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  • Dialogue, speech and images: the companions project data set

    Wilks, Y., Benyon, D., Brewster, C., Ircing, P. & Mival, O., Jun 2008, Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC08). 4 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

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