<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kocbek-etal-2016-evaluating">
    <titleInfo>
        <title>Evaluating a dictionary of human phenotype terms focusing on rare diseases</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Simon</namePart>
        <namePart type="family">Kocbek</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Toyofumi</namePart>
        <namePart type="family">Fujiwara</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jin-Dong</namePart>
        <namePart type="family">Kim</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Toshihisa</namePart>
        <namePart type="family">Takagi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Tudor</namePart>
        <namePart type="family">Groza</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2016-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Patrick</namePart>
            <namePart type="family">Drouin</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Natalia</namePart>
            <namePart type="family">Grabar</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Thierry</namePart>
            <namePart type="family">Hamon</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Kyo</namePart>
            <namePart type="family">Kageura</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Koichi</namePart>
            <namePart type="family">Takeuchi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>The COLING 2016 Organizing Committee</publisher>
            <place>
                <placeTerm type="text">Osaka, Japan</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Annotating medical text such as clinical notes with human phenotype descriptors is an important task that can, for example, assist in building patient profiles. To automatically annotate text one usually needs a dictionary of predefined terms. However, do to the variety of human expressiveness, current state-of-the art phenotype concept recognizers and automatic annotators struggle with specific domain issues and challenges. In this paper we present results of an-notating gold standard corpus with a dictionary containing lexical variants for the Human Phenotype Ontology terms. The main purpose of the dictionary is to improve the recall of phenotype concept recognition systems. We compare the method with four other approaches and present results.</abstract>
    <identifier type="citekey">kocbek-etal-2016-evaluating</identifier>
    <location>
        <url>https://aclanthology.org/W16-4712</url>
    </location>
    <part>
        <date>2016-12</date>
        <extent unit="page">
            <start>104</start>
            <end>109</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Evaluating a dictionary of human phenotype terms focusing on rare diseases
%A Kocbek, Simon
%A Fujiwara, Toyofumi
%A Kim, Jin-Dong
%A Takagi, Toshihisa
%A Groza, Tudor
%Y Drouin, Patrick
%Y Grabar, Natalia
%Y Hamon, Thierry
%Y Kageura, Kyo
%Y Takeuchi, Koichi
%S Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F kocbek-etal-2016-evaluating
%X Annotating medical text such as clinical notes with human phenotype descriptors is an important task that can, for example, assist in building patient profiles. To automatically annotate text one usually needs a dictionary of predefined terms. However, do to the variety of human expressiveness, current state-of-the art phenotype concept recognizers and automatic annotators struggle with specific domain issues and challenges. In this paper we present results of an-notating gold standard corpus with a dictionary containing lexical variants for the Human Phenotype Ontology terms. The main purpose of the dictionary is to improve the recall of phenotype concept recognition systems. We compare the method with four other approaches and present results.
%U https://aclanthology.org/W16-4712
%P 104-109

Markdown (Informal)

[Evaluating a dictionary of human phenotype terms focusing on rare diseases](https://aclanthology.org/W16-4712) (Kocbek et al., CompuTerm 2016)

• Evaluating a dictionary of human phenotype terms focusing on rare diseases (Kocbek et al., CompuTerm 2016)

ACL

• Simon Kocbek, Toyofumi Fujiwara, Jin-Dong Kim, Toshihisa Takagi, and Tudor Groza. 2016. Evaluating a dictionary of human phenotype terms focusing on rare diseases. In Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016), pages 104–109, Osaka, Japan. The COLING 2016 Organizing Committee.