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    <titleInfo>
        <title>Wikipedia as a Resource for Text Analysis and Retrieval</title>
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    <name type="personal">
        <namePart type="given">Marius</namePart>
        <namePart type="family">Pasca</namePart>
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            <title>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts</title>
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        <name type="personal">
            <namePart type="given">Preslav</namePart>
            <namePart type="family">Nakov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Alexis</namePart>
            <namePart type="family">Palmer</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>This tutorial examines the role of Wikipedia in tasks related to text analysis and retrieval. Text analysis tasks, which take advantage of Wikipedia, include coreference resolution, word sense and entity disambiguation and information extraction. In information retrieval, a better understanding of the structure and meaning of queries helps in matching queries against documents, clustering search results, answer and entity retrieval and retrieving knowledge panels for queries asking about popular entities.</abstract>
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    <identifier type="doi">10.18653/v1/P19-4005</identifier>
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        <date>2019-07</date>
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%0 Conference Proceedings
%T Wikipedia as a Resource for Text Analysis and Retrieval
%A Pasca, Marius
%Y Nakov, Preslav
%Y Palmer, Alexis
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F pasca-2019-wikipedia
%X This tutorial examines the role of Wikipedia in tasks related to text analysis and retrieval. Text analysis tasks, which take advantage of Wikipedia, include coreference resolution, word sense and entity disambiguation and information extraction. In information retrieval, a better understanding of the structure and meaning of queries helps in matching queries against documents, clustering search results, answer and entity retrieval and retrieving knowledge panels for queries asking about popular entities.
%R 10.18653/v1/P19-4005
%U https://aclanthology.org/P19-4005
%U https://doi.org/10.18653/v1/P19-4005
%P 24

Markdown (Informal)

[Wikipedia as a Resource for Text Analysis and Retrieval](https://aclanthology.org/P19-4005) (Pasca, ACL 2019)

• Wikipedia as a Resource for Text Analysis and Retrieval (Pasca, ACL 2019)

ACL

• Marius Pasca. 2019. Wikipedia as a Resource for Text Analysis and Retrieval. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, page 24, Florence, Italy. Association for Computational Linguistics.