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Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph

dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBORDEA, Georgeta
dc.contributor.authorFARALLI, S
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorMOUGIN, Fleur
IDREF: 116242337
dc.contributor.authorBUITELAAR, P
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDIALLO, Abdourahmane Gayo
ORCID: 0000-0002-9799-9484
IDREF: 112800084
dc.date.accessioned2021-01-18T10:33:14Z
dc.date.available2021-01-18T10:33:14Z
dc.date.issued2020
dc.date.conference2020-05
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/25809
dc.description.abstractEnIn this work, we address the task of extracting application-specific taxonomies from the category hierarchy of Wikipedia. Previous work on pruning the Wikipedia knowledge graph relied on silver standard taxonomies which can only be automatically extracted for a small subset of domains rooted in relatively focused nodes, placed at an intermediate level in the knowledge graphs. In this work, we propose an iterative methodology to extract an application-specific gold standard dataset from a knowledge graph and an evaluation framework to comparatively assess the quality of noisy automatically extracted taxonomies. We employ an existing state of the art algorithm in an iterative manner and we propose several sampling strategies to reduce the amount of manual work needed for evaluation. A first gold standard dataset is released to the research community for this task along with a companion evaluation framework. This dataset addresses a real-world application from the medical domain, namely the extraction of food-drug and herb-drug interactions.
dc.language.isoENen_US
dc.publisherEuropean Language Resources Associationen_US
dc.subjectERIAS
dc.title.enEvaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph
dc.title.alternativeProceedings of The 12th Language Resources and Evaluation Conferenceen_US
dc.typeCommunication dans un congrès avec actesen_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.page2341–2347en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.titleProceedings of The 12th Language Resources and Evaluation Conferenceen_US
bordeaux.countryfren_US
bordeaux.title.proceedingProceedings of The 12th Language Resources and Evaluation Conferenceen_US
bordeaux.teamERIASen_US
bordeaux.conference.cityMarseilleen_US
bordeaux.peerReviewedouien_US
hal.exportfalse
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2020&rft.spage=2341%E2%80%932347&rft.epage=2341%E2%80%932347&rft.au=BORDEA,%20Georgeta&FARALLI,%20S&MOUGIN,%20Fleur&BUITELAAR,%20P&DIALLO,%20Abdourahmane%20Gayo&rft.genre=proceeding


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