Search Results

We are not ready yet: limitations of state-of-the-art disease named entity recognizers.

• Authors : Kühnel L; ZB MED - Information Centre for Life Sciences, Gleueler Str. 60, Cologne, Germany. .; Graduate School DILS, Bielefeld Institute for Bioinformatics Infrastructure (BIBI), Faculty of Technology, Bielefeld University, Postfach 10 01 31, 33501, Bielefeld, Germany. .

Subjects: Data Mining*/Data Mining*/Data Mining*/methods ; COVID-19*; Humans

• Source: Journal of biomedical semantics [J Biomed Semantics] 2022 Oct 27; Vol. 13 (1), pp. 26. Date of Electronic Publication: 2022 Oct 27.Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1480

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Entity recognition in the biomedical domain using a hybrid approach.

• Authors : Basaldella M; Università degli Studi di Udine, Via delle Scienze 208, Udine, 33100, Italy.; Furrer L

Subjects: Algorithms* ; Machine Learning* ; Neural Networks, Computer*

• Source: Journal of biomedical semantics [J Biomed Semantics] 2017 Nov 09; Vol. 8 (1), pp. 51. Date of Electronic Publication: 2017 Nov 09.Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1480

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Multiple kernels learning-based biological entity relationship extraction method.

• Authors : Dongliang X; School of Mechanical, Electrical and Information Engineering, ShanDong University, WenHua West Road, WeiHai, 264209, China.; Jingchang P

Subjects: Machine Learning*; Data Mining/Data Mining/Data Mining/*methods; MEDLINE

• Source: Journal of biomedical semantics [J Biomed Semantics] 2017 Sep 20; Vol. 8 (Suppl 1), pp. 38. Date of Electronic Publication: 2017 Sep 20.Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1480

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Large scale biomedical texts classification: a kNN and an ESA-based approaches.

• Authors : Dramé K; University of Bordeaux, ERIAS, Centre INSERM U897, F-33000, Bordeaux, France. .; Mougin F

Subjects: Biological Ontologies* ; Biomedical Research* ; Data Mining*

• Source: Journal of biomedical semantics [J Biomed Semantics] 2016 Jun 16; Vol. 7, pp. 40. Date of Electronic Publication: 2016 Jun 16.Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1480

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A neural classification method for supporting the creation of BioVerbNet.

• Authors : Chiu B; Language Technology Laboratory, MML, University of Cambridge, 9 West Road, Cambridge, CB39DB, UK. .; Majewska O

Subjects: Data Mining* ; Natural Language Processing*; Biomedical Research

• Source: Journal of biomedical semantics [J Biomed Semantics] 2019 Jan 18; Vol. 10 (1), pp. 2. Date of Electronic Publication: 2019 Jan 18.Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1480

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Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.

• Authors : Han X; School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798 Singapore.; Kim JJ

Subjects: Biological Ontologies* ; Machine Learning* ; Natural Language Processing*

• Source: Journal of biomedical semantics [J Biomed Semantics] 2016 Apr 27; Vol. 7, pp. 22. Date of Electronic Publication: 2016 Apr 27 (Print Publication: Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: eCollection Cited Medium: Internet ISSN: 2041-1480

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Extracting drug-enzyme relation from literature as evidence for drug drug interaction.

• Authors : Zhang Y; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX USA.; Wu HY

Subjects: Biological Ontologies* ; Machine Learning*; Data Mining/Data Mining/Data Mining/*methods

• Source: Journal of biomedical semantics [J Biomed Semantics] 2016 Mar 07; Vol. 7, pp. 11. Date of Electronic Publication: 2016 Mar 07 (Print Publication: Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: eCollection Cited Medium: Internet ISSN: 2041-1480

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Making adjustments to event annotations for improved biological event extraction.

• Authors : Baek SC; Department of Computer Science, KAIST, 291 Daehak-ro, Daejeon, Republic of Korea. .; Agency for Defense Development, Daejeon, Republic of Korea. .

Subjects: Biological Ontologies*; Data Mining/Data Mining/Data Mining/*methods; Computer Graphics

• Source: Journal of biomedical semantics [J Biomed Semantics] 2016 Sep 16; Vol. 7, pp. 55. Date of Electronic Publication: 2016 Sep 16.Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1480

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An annotated dataset for extracting gene-melanoma relations from scientific literature.

• Authors : Zanoli R; Fondazione Bruno Kessler (FBK), Via Sommarive 18, Povo (TN), 38123, Italy.; Lavelli A

Subjects: Data Mining* ; Melanoma*/Melanoma*/Melanoma*/genetics; Databases, Factual

• Source: Journal of biomedical semantics [J Biomed Semantics] 2022 Jan 19; Vol. 13 (1), pp. 2. Date of Electronic Publication: 2022 Jan 19.Publisher: Biomed Central Country of Publication: England NLM ID: 101531992 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1480

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Detecting concept mentions in biomedical text using hidden Markov model: multiple concept types at once or one at a time?

• Authors : Torii, Manabu¹ ; Wagholikar, Kavishwar² ; Hongfang Liu²

• Source: Journal of Biomedical Semantics. 2014, Vol. 5 Issue 1, p1-13. 13p.

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