Abstract
In this chapter we present a method for automatically extracting terminological resources from text corpora. Automatic term extraction is of great interest nowadays, where huge volumes of texts are produced and published electronically, resulting in new requirements for their management and processing (automatic text classification, information retrieval, information extraction, etc.). The application of language technology systems in order to meet these requirements presupposes the customisation of the system to the domain of the processed text. A basic step towards this procedure is the improvement and enrichment of language resources by incorporating the appropriate domain terminology. The application of methods for automatic extraction of terminological resources provides a reliable, fast and low-cost solution to the customisation procedure.
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© 1999 Springer Science+Business Media Dordrecht
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Georgantopoulos, B., Piperidis, S. (1999). Eliciting Terminological Knowledge for Information Extraction Applications. In: Tzafestas, S.G. (eds) Advances in Intelligent Systems. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4840-5_18
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DOI: https://doi.org/10.1007/978-94-011-4840-5_18
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-0393-6
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