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Communication Dans Un Congrès Année : 2020

Information retrieval for animal disease surveillance: a pattern-based approach.

Résumé

Animal diseases-related news articles are richin information useful for risk assessment. In this paper, we explore a method to automatically retrieve sentence-level epidemiological information. Our method is an incremental approach to create and expand patterns at both lexical and syntactic levels. Expert knowledge input are used at different steps of the approach. Distributed vector representations (word embedding) were used to expand the patterns at the lexical level, thus alleviating manual curation. We showed that expert validation was crucial to improve the precision of automatically generated patterns.

Dates et versions

hal-03503348 , version 1 (27-12-2021)

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Sarah Valentin, Renaud Lancelot, Mathieu Roche. Information retrieval for animal disease surveillance: a pattern-based approach.. Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, Nov 2020, Online, France. pp.70-78, ⟨10.18653/v1/2020.louhi-1.8⟩. ⟨hal-03503348⟩
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