MOOD project is at the forefront of European research of infectious disease surveillance and modelling from a data science perspective, investigating the impact of global warming on disease outbreaks, and proposing innovations for building of One Health systems across Europe and the world.
In the table below are listed all MOOD publications. Use the filter to select the most relevant articles.
Valentin, Sarah; Lancelot, Renaud; Roche, Mathieu
Äutomated Processing of Multilingual Online News for the Monitoring of Animal Infectious Diseases" Inproceedings
In: Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020), pp. 33–36, European Language Resources Association, Marseille, France, 2020, ISBN: 979-10-95546-65-8.
Abstract | Links | BibTeX | Tags: Animal disease surveillance, detection, monitoring, Text mining
@inproceedings{valentin-etal-2020-automated,
title = {Äutomated Processing of Multilingual Online News for the Monitoring of Animal Infectious Diseases"},
author = {Sarah Valentin and Renaud Lancelot and Mathieu Roche},
url = {https://aclanthology.org/2020.multilingualbio-1.6},
isbn = {979-10-95546-65-8},
year = {2020},
date = {2020-05-01},
booktitle = {Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020)},
pages = {33--36},
publisher = {European Language Resources Association},
address = {Marseille, France},
abstract = {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},
keywords = {Animal disease surveillance, detection, monitoring, Text mining},
pubstate = {published},
tppubtype = {inproceedings}
}