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Constructing a Syndromic Terminology Resource for Veterinary Text Mining


Furrer, Lenz; Küker, Susanne; Berezowski, John; Posthaus, Horst; Vial, Flavie; Rinaldi, Fabio (2015). Constructing a Syndromic Terminology Resource for Veterinary Text Mining. In: Proceedings of the 11th International Conference on Terminology and Artificial Intelligence, Granada, 4 November 2015 - 6 November 2015, 61-70.

Abstract

Public health surveillance systems rely on the automated monitoring of large amounts of text. While building a text mining system for veterinary syndromic surveillance, we exploit automatic and semi-automatic methods for terminology construction at different stages. Our approaches include term extraction from free-text, grouping of term variants based on string similarity, and linking to an existing medical ontology.

Abstract

Public health surveillance systems rely on the automated monitoring of large amounts of text. While building a text mining system for veterinary syndromic surveillance, we exploit automatic and semi-automatic methods for terminology construction at different stages. Our approaches include term extraction from free-text, grouping of term variants based on string similarity, and linking to an existing medical ontology.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:6 November 2015
Deposited On:12 Nov 2015 11:50
Last Modified:08 Dec 2017 14:50
Publisher:s.n.
Funders:Bundesamt für Lebensmittelsicherheit und Veterinärwesen
Related URLs:http://nbn-resolving.de/urn:nbn:de:0074-1495-6

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