DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Lee, Doheon | - |
dc.contributor.advisor | 이도헌 | - |
dc.contributor.author | Kim, Kwangmin | - |
dc.date.accessioned | 2022-04-15T01:53:55Z | - |
dc.date.available | 2022-04-15T01:53:55Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=962582&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/294582 | - |
dc.description.abstract | 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. 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. We expect that our model can be utilized for effective concept recognition and variety of natural language processing tasks on bioinformatics. | - |
dc.language | eng | - |
dc.title | Context-aware multi-token concept recognition for biomedical text mining | - |
dc.title.alternative | 바이오 텍스트마이닝을 위한 맥락정보를 고려한 다중토큰 개념어의 인식 기법 | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :바이오및뇌공학과, | - |
dc.description.isOpenAccess | 학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2021.8,[iv, 55 p. :] | - |
dc.publisher.country | 한국과학기술원 | - |
dc.type.journalArticle | Thesis(Ph.D) | - |
dc.contributor.alternativeauthor | 김광민 | - |
dc.subject.keywordAuthor | Concept Recognition▼aEntity Normalization▼aGene Ontology▼aNamed Entity Recognition▼aLanguage Model | - |
dc.subject.keywordAuthor | 개념어 인식▼a개체명 정규화▼a유전자 온톨로지▼a개체명 인식▼a언어 모델 | - |
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