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dc.contributor.author박현석*
dc.date.accessioned2021-08-12T16:32:23Z-
dc.date.available2021-08-12T16:32:23Z-
dc.date.issued2020*
dc.identifier.issn2234-0742*
dc.identifier.otherOAK-29901*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/258783-
dc.description.abstractThe prototype version of the full-text corpus of Genomics & Informatics has recently been archived in a GitHub repository. The full-text publications of volumes 10 through 17 are also directly downloadable from PubMed Central (PMC) as XML files. During the Biomedi-cal Linked Annotation Hackathon 6 (BLAH6), we experimented with converting, annotat-ing, and updating 301 PMC full-text articles of Genomics & Informatics using PubAnnota-tion, a system that provides a convenient way to add PMC publications based on PMCID. Thus, this review aims to provide a tutorial overview of practicing the iterative task of named entity recognition with the PubAnnotation/PubDictionaries/TextAE ecosystem. We also describe developing a conversion tool between the Genia tagger output and the JSON format of PubAnnotation during the hackathon. © 2020, Korea Genome Organization.*
dc.languageEnglish*
dc.publisherKorea Genome Organization*
dc.subjectNamed entity recognition*
dc.subjectNatural language processing*
dc.subjectText mining*
dc.titleUsing the pubannotation ecosystem to perform agile text mining on genomics & informatics: A tutorial review*
dc.typeReview*
dc.relation.issue2*
dc.relation.volume18*
dc.relation.indexSCOPUS*
dc.relation.startpage1*
dc.relation.lastpage10*
dc.relation.journaltitleGenomics and Informatics*
dc.identifier.doi10.5808/GI.2020.18.2.e13*
dc.identifier.scopusid2-s2.0-85087342960*
dc.author.googleNam H.-J.*
dc.author.googleYamada R.*
dc.author.googlePark H.-S.*
dc.contributor.scopusid박현석(22433646000)*
dc.date.modifydate20240322133434*
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인공지능대학 > 컴퓨터공학과 > Journal papers
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