000070834 001__ 70834
000070834 005__ 20210526094555.0
000070834 0247_ $$2doi$$a10.1109/ICTAI.2016.0159
000070834 0248_ $$2sideral$$a99158
000070834 037__ $$aART-2021-99158
000070834 041__ $$aeng
000070834 100__ $$0(orcid)0000-0001-5600-0008$$aGarrido, A.L.
000070834 245__ $$aNEREA: Named entity recognition and disambiguation exploiting local document repositories
000070834 260__ $$c2021
000070834 5060_ $$aAccess copy available to the general public$$fUnrestricted
000070834 5203_ $$aIn this work, we describe the design, development, and deployment of NEREA (Named Entity Recognizer for spEcific Areas), an automatic Named Entity Recognizer and Disambiguation system, developed in collaboration with professional documentalists. The aim of NEREA is to keep accurate and current information about the entities mentioned in a local repository, and then support building appropriate infoboxes, setting out the main data of these entities. It achieves a high performance thanks to the use of classification resources belonging to the local database. With this aim, the system performs tasks of named entity recognition and disambiguation by using three types of knowledge bases: local classification resources, global databases like DBpedia, and its own catalog created by NEREA. The proposed method has been validated with two different datasets and its operation has been tested in English and Spanish. The working methodology is being applied in a real environment of a media with promising results.
000070834 536__ $$9info:eu-repo/grantAgreement/ES/DGA/FSE$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R
000070834 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000070834 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000070834 700__ $$0(orcid)0000-0002-7073-219X$$aIlarri, S.$$uUniversidad de Zaragoza
000070834 700__ $$0(orcid)0000-0002-2342-1938$$aSangiao, S.
000070834 700__ $$aGañan, A.
000070834 700__ $$aBean, A.
000070834 700__ $$aCardiel, O.
000070834 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000070834 773__ $$g10 (2021), 7224-7261$$pProc. - Int. Conf. Tools Artif. Intell. TAI$$tProceedings - International Conference on Tools with Artificial Intelligence, TAI$$x1082-3409
000070834 8564_ $$s259016$$uhttps://zaguan.unizar.es/record/70834/files/texto_completo.pdf$$yPostprint
000070834 8564_ $$s126718$$uhttps://zaguan.unizar.es/record/70834/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
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000070834 951__ $$a2021-05-26-09:31:04
000070834 980__ $$aARTICLE