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        <title>Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types</title>
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    <name type="personal">
        <namePart type="given">Dina</namePart>
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        <namePart type="given">Raul</namePart>
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        <namePart type="given">Khan</namePart>
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            <title>Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016)</title>
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        <name type="personal">
            <namePart type="given">Sophia</namePart>
            <namePart type="family">Ananiadou</namePart>
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            <namePart type="given">Riza</namePart>
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            <namePart type="given">Kevin</namePart>
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            <namePart type="given">Dina</namePart>
            <namePart type="family">Demner-Fushman</namePart>
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            <namePart type="given">Paul</namePart>
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    <abstract>Author name disambiguation (AND) in publication and citation resources is a well-known problem. Often, information about email address and other details in the affiliation is missing. In cases where such information is not available, identifying the authorship of publications becomes very challenging. Consequently, there have been attempts to resolve such cases by utilizing external resources as references. However, such external resources are heterogeneous and are not always reliable regarding the correctness of information. To solve the AND task, especially when information about an author is not complete we suggest the use of new features such as journal descriptors (JD) and semantic types (ST). The evaluation of different feature models shows that their inclusion has an impact equivalent to that of other important features such as email address. Using such features we show that our system outperforms the state of the art.</abstract>
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%0 Conference Proceedings
%T Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types
%A Vishnyakova, Dina
%A Rodriguez-Esteban, Raul
%A Ozol, Khan
%A Rinaldi, Fabio
%Y Ananiadou, Sophia
%Y Batista-Navarro, Riza
%Y Cohen, Kevin Bretonnel
%Y Demner-Fushman, Dina
%Y Thompson, Paul
%S Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F vishnyakova-etal-2016-author
%X Author name disambiguation (AND) in publication and citation resources is a well-known problem. Often, information about email address and other details in the affiliation is missing. In cases where such information is not available, identifying the authorship of publications becomes very challenging. Consequently, there have been attempts to resolve such cases by utilizing external resources as references. However, such external resources are heterogeneous and are not always reliable regarding the correctness of information. To solve the AND task, especially when information about an author is not complete we suggest the use of new features such as journal descriptors (JD) and semantic types (ST). The evaluation of different feature models shows that their inclusion has an impact equivalent to that of other important features such as email address. Using such features we show that our system outperforms the state of the art.
%U https://aclanthology.org/W16-5115
%P 134-142

Markdown (Informal)

[Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types](https://aclanthology.org/W16-5115) (Vishnyakova et al., 2016)

• Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types (Vishnyakova et al., 2016)

ACL

• Dina Vishnyakova, Raul Rodriguez-Esteban, Khan Ozol, and Fabio Rinaldi. 2016. Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types. In Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016), pages 134–142, Osaka, Japan. The COLING 2016 Organizing Committee.