DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Kwangmin | ko |
dc.contributor.author | Lee, Doheon | ko |
dc.date.accessioned | 2021-11-09T06:42:34Z | - |
dc.date.available | 2021-11-09T06:42:34Z | - |
dc.date.created | 2021-11-09 | - |
dc.date.created | 2021-11-09 | - |
dc.date.created | 2021-11-09 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.citation | BMC BIOINFORMATICS, v.22, no.SUPPL 11 | - |
dc.identifier.issn | 1471-2105 | - |
dc.identifier.uri | http://hdl.handle.net/10203/288971 | - |
dc.description.abstract | Background Concept recognition is a term that corresponds to the two sequential steps of named entity recognition and named entity normalization, and plays an essential role in the field of bioinformatics. However, the conventional dictionary-based methods did not sufficiently addressed the variation of the concepts in actual use in literature, resulting in the particularly degraded performances in recognition of multi-token concepts. Results In this paper, we propose a concept recognition method of multi-token biological entities using neural models combined with literature contexts. The key aspect of our method is utilizing the contextual information from the biological knowledge-bases for concept normalization, which is followed by named entity recognition procedure. The model showed improved performances over conventional methods, particularly for multi-token concepts with higher variations. Conclusions We expect that our model can be utilized for effective concept recognition and variety of natural language processing tasks on bioinformatics. | - |
dc.language | English | - |
dc.publisher | BMC | - |
dc.title | Context-aware multi-token concept recognition of biological entities | - |
dc.type | Article | - |
dc.identifier.wosid | 000710277500001 | - |
dc.identifier.scopusid | 2-s2.0-85117572699 | - |
dc.type.rims | ART | - |
dc.citation.volume | 22 | - |
dc.citation.issue | SUPPL 11 | - |
dc.citation.publicationname | BMC BIOINFORMATICS | - |
dc.identifier.doi | 10.1186/s12859-021-04248-8 | - |
dc.contributor.localauthor | Lee, Doheon | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | BERT | - |
dc.subject.keywordAuthor | Concept recognition | - |
dc.subject.keywordAuthor | Entity normalization | - |
dc.subject.keywordAuthor | Gene ontology | - |
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