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Author Details

Chih-Hsuan Wei
National Center for Biotechnology Information, National Institutes of Health
2011
54
22
PMIDPaper TitleJournal TitlePublished Year
36350613LitCovid in 2022: an information resource for the COVID-19 literature.Nucleic Acids Res2023
36350613LitCovid in 2022: an information resource for the COVID-19 literature.Nucleic Acids Res2023
37673376BioREx: Improving biomedical relation extraction by leveraging heterogeneous datasets.J Biomed Inform2023
37878810GNorm2: an improved gene name recognition and normalization system.Bioinformatics2023
37268776Tracking genetic variants in the biomedical literature using LitVar 2.0.Nat Genet2023
36945685Bioformer: an efficient transformer language model for biomedical text mining.ArXiv2023
37171899AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.Bioinformatics2023
37502629BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets.ArXiv2023
37878810GNorm2: an improved gene name recognition and normalization system.Bioinformatics2023
37502629BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets.ArXiv2023
37673376BioREx: Improving biomedical relation extraction by leveraging heterogeneous datasets.J Biomed Inform2023
36945685Bioformer: an efficient transformer language model for biomedical text mining.ArXiv2023
37171899AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.Bioinformatics2023
37268776Tracking genetic variants in the biomedical literature using LitVar 2.0.Nat Genet2023
36227127Assigning species information to corresponding genes by a sequence labeling framework.Database (Oxford)2022
35904569tmVar 3.0: an improved variant concept recognition and normalization tool.Bioinformatics2022
36227127Assigning species information to corresponding genes by a sequence labeling framework.Database (Oxford)2022
35856889A sequence labeling framework for extracting drug-protein relations from biomedical literature.Database (Oxford)2022
35849818BioRED: a rich biomedical relation extraction dataset.Brief Bioinform2022
35856889A sequence labeling framework for extracting drug-protein relations from biomedical literature.Database (Oxford)2022
35849818BioRED: a rich biomedical relation extraction dataset.Brief Bioinform2022
35904569tmVar 3.0: an improved variant concept recognition and normalization tool.Bioinformatics2022
32770181Recent advances of automated methods for searching and extracting genomic variant information from biomedical literature.Brief Bioinform2021
33839304NLM-Gene, a richly annotated gold standard dataset for gene entities that addresses ambiguity and multi-species gene recognition.J Biomed Inform2021
33767203NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature.Sci Data2021
32770181Recent advances of automated methods for searching and extracting genomic variant information from biomedical literature.Brief Bioinform2021
34465169Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing.Annu Rev Biomed Data Sci2021
33767203NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature.Sci Data2021
33839304NLM-Gene, a richly annotated gold standard dataset for gene entities that addresses ambiguity and multi-species gene recognition.J Biomed Inform2021
34465169Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing.Annu Rev Biomed Data Sci2021
32479517Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability.PLoS Biol2020
32324731BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.PLoS Comput Biol2020
32308977BioHackathon 2015: Semantics of data for life sciences and reproducible research.F1000Res2020
32479517Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability.PLoS Biol2020
32308977BioHackathon 2015: Semantics of data for life sciences and reproducible research.F1000Res2020
32324731BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.PLoS Comput Biol2020
30689846Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.Database (Oxford)2019
30753477Using deep learning to identify translational research in genomic medicine beyond bench to bedside.Database (Oxford)2019
30689846Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.Database (Oxford)2019
31114887PubTator central: automated concept annotation for biomedical full text articles.Nucleic Acids Res2019
30715220PMC text mining subset in BioC: about three million full-text articles and growing.Bioinformatics2019
30715220PMC text mining subset in BioC: about three million full-text articles and growing.Bioinformatics2019
31114887PubTator central: automated concept annotation for biomedical full text articles.Nucleic Acids Res2019
30753477Using deep learning to identify translational research in genomic medicine beyond bench to bedside.Database (Oxford)2019
28968638tmVar 2.0: integrating genomic variant information from literature with dbSNP and ClinVar for precision medicine.Bioinformatics2018
28968638tmVar 2.0: integrating genomic variant information from literature with dbSNP and ClinVar for precision medicine.Bioinformatics2018
30102703Scaling up data curation using deep learning: An application to literature triage in genomic variation resources.PLoS Comput Biol2018
30239677Assisting document triage for human kinome curation via machine learning.Database (Oxford)2018
30329035Overview of the BioCreative VI text-mining services for Kinome Curation Track.Database (Oxford)2018
29762787LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC.Nucleic Acids Res2018
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Collaborators

Zhiyong Lu
National Center for Biotechnology Information, National Institutes of Health.
Co-authored papers 46
Robert Leaman
National Institutes of Health
Co-authored papers 13
Sun Kim
Co-authored papers 5
Rezarta Islamaj DoĿan
Co-authored papers 4
Cecilia N Arighi
University of Delaware
Co-authored papers 4
Donald C Comeau
Co-authored papers 3
Donghui Li
Qilu University of Technology (Shandong Academy of Sciences)
Co-authored papers 3
Ritu Khare
Co-authored papers 3
Yifan Peng
National Center for Biotechnology Information, National Institutes of Health
Co-authored papers 3
W John Wilbur
National Center for Biotechnology Information, National Institutes of Health
Co-authored papers 3
Hong-Jie Dai
Co-authored papers 3
Bethany R Harris
University of Kansas
Co-authored papers 3
Sylvain Poux
carnegie mellon university
Co-authored papers 2
Mary L Schaeffer
University of Missouri
Co-authored papers 2
Hongfang Liu
Mayo Clinic
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Kevin Bretonnel Cohen
University of Colorado Denver
Co-authored papers 2
Maria Livia Famiglietti
Centre Medical Universitaire
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Andrew Chatr-Aryamontri
Institute for Research in Immunology and Cancer (IRIC), University of Montreal
Co-authored papers 2
Sérgio Matos
Co-authored papers 2
Patrick Ruch
University of Applied Sciences and Arts of Western Switzerland (HES-SO).
Co-authored papers 2
Richard Tzong-Han Tsai
Co-authored papers 2
Jiao Li
Institute of Medical Information, Chinese Academy of Medical Sciences
Co-authored papers 2
Hans-Michael M??ller
Heidelberg University Biochemistry Center
Co-authored papers 2
Kimberly Van Auken
California Institute of Technology
Co-authored papers 2
Karin Verspoor
National Centre for Infections in Cancer, 5Peter MacCallum Cancer Centre
Co-authored papers 2
Thomas C Wiegers
Co-authored papers 2
Dongseop Kwon
Co-authored papers 2
Carolyn J Mattingly
North Carolina State University
Co-authored papers 2
Catalina O Tudor
Center for Bioinformatics and Computational Biology, University of Delaware
Co-authored papers 1
Marc Gillespie
Ontario Institute for Cancer Research
Co-authored papers 1
Release 1.2