BOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of Bacteria Biotopes

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dc.authorid0000-0002-7097-6143
dc.authorid0000-0002-6214-6262
dc.authorid0000-0001-8376-1056
dc.contributor.authorKaradeniz, İlknuren_US
dc.contributor.authorTuna, Ömer Faruken_US
dc.contributor.authorÖzgu, Arzucanen_US
dc.date.accessioned2023-02-10T12:00:41Z
dc.date.available2023-02-10T12:00:41Z
dc.date.issued2019-11-04
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractThis paper presents our participation at the Bacteria Biotope Task of the BioNLP Shared Task 2019. Our participation includes two systems for the two subtasks of the Bacteria Biotope Task: the normalization of entities (BB-norm) and the identification of the relations between the entities given a biomedical text (BB-rel). For the normalization of entities, we utilized word embeddings and syntactic re-ranking. For the relation extraction task, pre-defined rules are used. Although both approaches are unsupervised, in the sense that they do not need any labeled data, they achieved promising results. Especially, for the BB-norm task, the results have shown that the proposed method performs as good as deep learning based methods, which require labeled data.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationKaradeniz, İ., Tuna, Ö. F. & Özgu, A. (2019). BOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of Bacteria Biotopes. Paper presented at the Proceedings of the 5th Workshop on BioNLP Open Shared Tasks, 150-157.en_US
dc.identifier.endpage157
dc.identifier.isbn9781950737826
dc.identifier.scopus2-s2.0-85098262791
dc.identifier.scopusqualityN/A
dc.identifier.startpage150
dc.identifier.urihttps://hdl.handle.net/11729/5365
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKaradeniz, İlknuren_US
dc.institutionauthorTuna, Ömer Faruken_US
dc.institutionauthorid0000-0002-7097-6143
dc.institutionauthorid0000-0002-6214-6262
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherAssociation for Computational Linguistics (ACL)en_US
dc.relation.ispartofProceedings of the 5th Workshop on BioNLP Open Shared Tasksen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputational linguisticsen_US
dc.subjectDeep learningen_US
dc.subjectExtractionen_US
dc.subjectNatural language processing systemsen_US
dc.subjectBiomedical texten_US
dc.subjectEmbeddingsen_US
dc.subjectLabeled dataen_US
dc.subjectLearning-based methodsen_US
dc.subjectNamed entity normalizationsen_US
dc.subjectNormalisationen_US
dc.subjectRe-rankingen_US
dc.subjectRelation extractionen_US
dc.subjectSubtasken_US
dc.subjectUnsupervised approachesen_US
dc.subjectBacteriaen_US
dc.subjectBiomedicalen_US
dc.subjectCurationen_US
dc.subjectMedlineen_US
dc.titleBOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of Bacteria Biotopesen_US
dc.typeConference Objecten_US

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