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        <title>An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds</title>
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        <namePart type="given">Maria</namePart>
        <namePart type="given">Pia</namePart>
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            <namePart type="given">Beatrice</namePart>
            <namePart type="family">Alex</namePart>
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        <name type="personal">
            <namePart type="given">Stefania</namePart>
            <namePart type="family">Degaetano-Ortlieb</namePart>
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        <name type="personal">
            <namePart type="given">Anna</namePart>
            <namePart type="family">Feldman</namePart>
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            <namePart type="given">Anna</namePart>
            <namePart type="family">Kazantseva</namePart>
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            <namePart type="given">Stan</namePart>
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    <abstract>In this paper, we present our preliminary study on an ontology-based method to extract and classify compositional nominal compounds in specific domains of knowledge. This method is based on the assumption that, applying a conceptual model to represent knowledge domain, it is possible to improve the extraction and classification of lexicon occurrences for that domain in a semi-automatic way. We explore the possibility of extracting and classifying a specific construction type (nominal compounds) spanning a specific domain (Cultural Heritage) and a specific language (Italian).</abstract>
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%0 Conference Proceedings
%T An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds
%A di Buono, Maria Pia
%Y Alex, Beatrice
%Y Degaetano-Ortlieb, Stefania
%Y Feldman, Anna
%Y Kazantseva, Anna
%Y Reiter, Nils
%Y Szpakowicz, Stan
%S Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F di-buono-2017-ontology
%X In this paper, we present our preliminary study on an ontology-based method to extract and classify compositional nominal compounds in specific domains of knowledge. This method is based on the assumption that, applying a conceptual model to represent knowledge domain, it is possible to improve the extraction and classification of lexicon occurrences for that domain in a semi-automatic way. We explore the possibility of extracting and classifying a specific construction type (nominal compounds) spanning a specific domain (Cultural Heritage) and a specific language (Italian).
%R 10.18653/v1/W17-2211
%U https://aclanthology.org/W17-2211
%U https://doi.org/10.18653/v1/W17-2211
%P 83-88

Markdown (Informal)

[An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds](https://aclanthology.org/W17-2211) (di Buono, LaTeCH 2017)

• An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds (di Buono, LaTeCH 2017)

ACL

• Maria Pia di Buono. 2017. An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 83–88, Vancouver, Canada. Association for Computational Linguistics.