Sarah Valentin


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Information retrieval for animal disease surveillance: a pattern-based approach.
Sarah Valentin | Mathieu Roche | Renaud Lancelot
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis

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.

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Automated Processing of Multilingual Online News for the Monitoring of Animal Infectious Diseases
Sarah Valentin | Renaud Lancelot | Mathieu Roche
Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020)

The Platform for Automated extraction of animal Disease Information from the web (PADI-web) is an automated system which monitors the web for monitoring and detecting emerging animal infectious diseases. The tool automatically collects news via customised multilingual queries, classifies them and extracts epidemiological information. We detail the processing of multilingual online sources by PADI-web and analyse the translated outputs in a case study