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End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies.

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Title: End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies.
Authors: Ai X; Department of Computer Science, University of Kentucky, Lexington, USA., Kavuluru R; Division of Biomedical Informatics, Dept. of Internal Medicine, University of Kentucky, Lexington, USA.
Source: Proceedings. IEEE International Conference on Healthcare Informatics [Proc (IEEE Int Conf Healthc Inform)] 2023 Jun; Vol. 2023, pp. 610-618. Date of Electronic Publication: 2023 Dec 11.
Publication Type: Journal Article
Journal Info: Publisher: The Institute of Eletrical and Electronics Engineers, Inc Country of Publication: United States NLM ID: 101683411 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2575-2626 (Print) Linking ISSN: 25752626 NLM ISO Abbreviation: Proc (IEEE Int Conf Healthc Inform) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies.
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  Data: <searchLink fieldCode="AU" term="%22Ai+X%22">Ai X</searchLink>; Department of Computer Science, University of Kentucky, Lexington, USA.<br /><searchLink fieldCode="AU" term="%22Kavuluru+R%22">Kavuluru R</searchLink>; Division of Biomedical Informatics, Dept. of Internal Medicine, University of Kentucky, Lexington, USA.
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  Data: <searchLink fieldCode="JN" term="%22101683411%22">Proceedings. IEEE International Conference on Healthcare Informatics</searchLink> [Proc (IEEE Int Conf Healthc Inform)] 2023 Jun; Vol. 2023, pp. 610-618. <i>Date of Electronic Publication: </i>2023 Dec 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22The+Institute+of+Eletrical+and+Electronics+Engineers%2C+Inc%22">The Institute of Eletrical and Electronics Engineers, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101683411 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2575-2626 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225752626%22">25752626 </searchLink><i>NLM ISO Abbreviation: </i>Proc (IEEE Int Conf Healthc Inform) <i>Subsets: </i>PubMed not MEDLINE
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/ichi57859.2023.00108
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      – Code: eng
        Text: English
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      Pagination:
        StartPage: 610
    Titles:
      – TitleFull: End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Ai X
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            NameFull: Kavuluru R
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          Dates:
            – D: 01
              M: 06
              Text: 2023 Jun
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 2575-2626
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              Value: 2023
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            – TitleFull: Proceedings. IEEE International Conference on Healthcare Informatics
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