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PADI-web: Platform for Automated Extraction of Animal Disease Information from the Web

Arsevska Elena, Falala Sylvain, De Goër de Hervé Jocelyn, Lancelot Renaud, Rabatel Julien, Roche Mathieu. 2017. PADI-web: Platform for Automated Extraction of Animal Disease Information from the Web. In : Human language technologies as a challenge for computer science and linguistics. Adam Mickiewicz University. Poznan : Adam Mickiewicz University, pp. 241-245. Language and Technology Conference. 8, Poznan, Pologne, 17 November 2017/19 November 2017.

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Url - jeu de données : https://doi.org/10.18167/DVN1/KMTIFG

Abstract : The Platform for Automated Extraction of Animal Disease Information from the Web (PADI-web) is a text mining tool for automatic detection, categorization, and extraction of disease outbreak information from Web news articles. PADI-web currently monitors the Web for five exotic animal infectious diseases and eight syndromes in five animal hosts. In the first six months of its operability (January-June 2016), PADI-web detected 73% of the outbreaks of african swine fever, which occurred worldwide and were immediately notified to the World Organisation for Animal Health; 20% of foot-and-mouth disease; 13% of bluetongue, and 62% of highly pathogenic avian influenza, respectively. The event extraction component of PADI-web obtained F-measure scores of 80% for locations, 85% for dates, 95% for diseases, 95% for hosts, and 85% for case numbers. PADI-web allows complementary disease surveillance in the domain of animal health.

Mots-clés libres : Text mining, Epidemic intelligence, Information extraction

Auteurs et affiliations

  • Arsevska Elena
  • Falala Sylvain
  • De Goër de Hervé Jocelyn, INRA (FRA)
  • Lancelot Renaud, CIRAD-BIOS-UMR ASTRE (FRA)
  • Rabatel Julien, LIRMM (FRA)
  • Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568

Source : Cirad-Agritrop (https://agritrop.cirad.fr/588235/)

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