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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBORDEA, Georgeta
dc.contributor.authorRANDRIATSITOHAINA, Tsanta
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMOUGIN, Fleur
IDREF: 116242337
dc.contributor.authorGRABAR, Natalia
dc.contributor.authorHAMON, Thierry
dc.date.accessioned2020-05-19T07:48:53Z
dc.date.available2020-05-19T07:48:53Z
dc.date.issued2019
dc.date.conference2019-08-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/7627
dc.description.abstractEnIn this paper, we address the problem of automatically constructing a relevant corpus of scientific articles about food-drug interactions. There is a growing number of scientific publications that describe food-drug interactions but currently building a high-coverage corpus that can be used for information extraction purposes is not trivial. We investigate several methods for automating the query selection process using an expert-curated corpus of food-drug interactions. Our experiments show that index term features along with a decision tree classifier are the best approach for this task and that feature selection approaches and in particular gain ratio outperform frequency-based methods for query selection.
dc.language.isoENen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.title.enQuery selection methods for automated corpora construction with a use case in food-drug interactions
dc.title.alternativeProceedings of the 18th BioNLP Workshop and Shared Tasken_US
dc.typeAutre communication scientifique (congrès sans actes - poster - séminaire...)en_US
dc.identifier.doi10.18653/v1/W19-5013en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.page115–124en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.titleACL Workshop on Biomedical Natural Language Processingen_US
bordeaux.conference.cityFlorenceen_US
bordeaux.conference.countryItaly
bordeaux.peerReviewedouien_US
hal.exportfalse
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