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    <titleInfo>
        <title>Mapping WordNet Concepts with CPA Ontology</title>
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    <name type="personal">
        <namePart type="given">Svetla</namePart>
        <namePart type="family">Koeva</namePart>
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    <name type="personal">
        <namePart type="given">Cvetana</namePart>
        <namePart type="family">Dimitrova</namePart>
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    <name type="personal">
        <namePart type="given">Valentina</namePart>
        <namePart type="family">Stefanova</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Dimitar</namePart>
        <namePart type="family">Hristov</namePart>
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            <title>Proceedings of the 9th Global Wordnet Conference</title>
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        <name type="personal">
            <namePart type="given">Francis</namePart>
            <namePart type="family">Bond</namePart>
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        <name type="personal">
            <namePart type="given">Piek</namePart>
            <namePart type="family">Vossen</namePart>
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        <name type="personal">
            <namePart type="given">Christiane</namePart>
            <namePart type="family">Fellbaum</namePart>
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        <originInfo>
            <publisher>Global Wordnet Association</publisher>
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                <placeTerm type="text">Nanyang Technological University (NTU), Singapore</placeTerm>
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    <abstract>The paper discusses the enrichment of WordNet data through merging of WordNet concepts and Corpus Pattern Analysis (CPA) semantic types. The 253 CPA semantic types are mapped to the respective WordNet concepts. As a result of mapping, the hyponyms of a synset to which a CPA semantic type is mapped inherit not only the respective WordNet semantic primitive but also the CPA semantic type.</abstract>
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        <url>https://aclanthology.org/2018.gwc-1.9</url>
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            <start>69</start>
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%0 Conference Proceedings
%T Mapping WordNet Concepts with CPA Ontology
%A Koeva, Svetla
%A Dimitrova, Cvetana
%A Stefanova, Valentina
%A Hristov, Dimitar
%Y Bond, Francis
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 9th Global Wordnet Conference
%D 2018
%8 January
%I Global Wordnet Association
%C Nanyang Technological University (NTU), Singapore
%F koeva-etal-2018-mapping
%X The paper discusses the enrichment of WordNet data through merging of WordNet concepts and Corpus Pattern Analysis (CPA) semantic types. The 253 CPA semantic types are mapped to the respective WordNet concepts. As a result of mapping, the hyponyms of a synset to which a CPA semantic type is mapped inherit not only the respective WordNet semantic primitive but also the CPA semantic type.
%U https://aclanthology.org/2018.gwc-1.9
%P 69-76

Markdown (Informal)

[Mapping WordNet Concepts with CPA Ontology](https://aclanthology.org/2018.gwc-1.9) (Koeva et al., GWC 2018)

• Mapping WordNet Concepts with CPA Ontology (Koeva et al., GWC 2018)

ACL

• Svetla Koeva, Cvetana Dimitrova, Valentina Stefanova, and Dimitar Hristov. 2018. Mapping WordNet Concepts with CPA Ontology. In Proceedings of the 9th Global Wordnet Conference, pages 69–76, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.