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        <title>Modeling language constructs with fuzzy sets: some approaches, examples and interpretations</title>
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    <name type="personal">
        <namePart type="given">Pavlo</namePart>
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            <title>Proceedings of the 13th International Conference on Computational Semantics - Student Papers</title>
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            <namePart type="given">Simon</namePart>
            <namePart type="family">Dobnik</namePart>
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        <name type="personal">
            <namePart type="given">Stergios</namePart>
            <namePart type="family">Chatzikyriakidis</namePart>
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            <namePart type="given">Vera</namePart>
            <namePart type="family">Demberg</namePart>
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        <name type="personal">
            <namePart type="given">Kathrein</namePart>
            <namePart type="family">Abu Kwaik</namePart>
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        <name type="personal">
            <namePart type="given">Vladislav</namePart>
            <namePart type="family">Maraev</namePart>
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    <abstract>We present and discuss a couple of approaches, including different types of projections, and some examples, discussing the use of fuzzy sets for modeling meaning of certain types of language constructs. We are mostly focusing on words other than adjectives and linguistic hedges as these categories are the most studied from before. We discuss logical and linguistic interpretations of membership functions. We argue that using fuzzy sets for modeling meaning of words and other natural language constructs, along with situations described with natural language is interesting both from purely linguistic perspective, and also as a knowledge representation for problems of computational linguistics and natural language processing.</abstract>
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    <identifier type="doi">10.18653/v1/W19-0604</identifier>
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%0 Conference Proceedings
%T Modeling language constructs with fuzzy sets: some approaches, examples and interpretations
%A Kapustin, Pavlo
%A Kapustin, Michael
%Y Dobnik, Simon
%Y Chatzikyriakidis, Stergios
%Y Demberg, Vera
%Y Abu Kwaik, Kathrein
%Y Maraev, Vladislav
%S Proceedings of the 13th International Conference on Computational Semantics - Student Papers
%D 2019
%8 May
%I Association for Computational Linguistics
%C Gothenburg, Sweden
%F kapustin-kapustin-2019-modeling
%X We present and discuss a couple of approaches, including different types of projections, and some examples, discussing the use of fuzzy sets for modeling meaning of certain types of language constructs. We are mostly focusing on words other than adjectives and linguistic hedges as these categories are the most studied from before. We discuss logical and linguistic interpretations of membership functions. We argue that using fuzzy sets for modeling meaning of words and other natural language constructs, along with situations described with natural language is interesting both from purely linguistic perspective, and also as a knowledge representation for problems of computational linguistics and natural language processing.
%R 10.18653/v1/W19-0604
%U https://aclanthology.org/W19-0604
%U https://doi.org/10.18653/v1/W19-0604
%P 24-33

Markdown (Informal)

[Modeling language constructs with fuzzy sets: some approaches, examples and interpretations](https://aclanthology.org/W19-0604) (Kapustin & Kapustin, IWCS 2019)

• Modeling language constructs with fuzzy sets: some approaches, examples and interpretations (Kapustin & Kapustin, IWCS 2019)

ACL

• Pavlo Kapustin and Michael Kapustin. 2019. Modeling language constructs with fuzzy sets: some approaches, examples and interpretations. In Proceedings of the 13th International Conference on Computational Semantics - Student Papers, pages 24–33, Gothenburg, Sweden. Association for Computational Linguistics.