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    <titleInfo>
        <title>A Quantum-Like Approach to Word Sense Disambiguation</title>
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    <name type="personal">
        <namePart type="given">Fabio</namePart>
        <namePart type="family">Tamburini</namePart>
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        <dateIssued>2019-09</dateIssued>
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            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)</title>
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        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <originInfo>
            <publisher>INCOMA Ltd.</publisher>
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    <abstract>This paper presents a novel algorithm for Word Sense Disambiguation (WSD) based on Quantum Probability Theory. The Quantum WSD algorithm requires concepts representations as vectors in the complex domain and thus we have developed a technique for computing complex word and sentence embeddings based on the Paragraph Vectors algorithm. Despite the proposed method is quite simple and that it does not require long training phases, when it is evaluated on a standardized benchmark for this task it exhibits state-of-the-art (SOTA) performances.</abstract>
    <identifier type="citekey">tamburini-2019-quantum</identifier>
    <identifier type="doi">10.26615/978-954-452-056-4_135</identifier>
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        <url>https://aclanthology.org/R19-1135</url>
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    <part>
        <date>2019-09</date>
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            <start>1176</start>
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%0 Conference Proceedings
%T A Quantum-Like Approach to Word Sense Disambiguation
%A Tamburini, Fabio
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F tamburini-2019-quantum
%X This paper presents a novel algorithm for Word Sense Disambiguation (WSD) based on Quantum Probability Theory. The Quantum WSD algorithm requires concepts representations as vectors in the complex domain and thus we have developed a technique for computing complex word and sentence embeddings based on the Paragraph Vectors algorithm. Despite the proposed method is quite simple and that it does not require long training phases, when it is evaluated on a standardized benchmark for this task it exhibits state-of-the-art (SOTA) performances.
%R 10.26615/978-954-452-056-4_135
%U https://aclanthology.org/R19-1135
%U https://doi.org/10.26615/978-954-452-056-4_135
%P 1176-1185

Markdown (Informal)

[A Quantum-Like Approach to Word Sense Disambiguation](https://aclanthology.org/R19-1135) (Tamburini, RANLP 2019)

• A Quantum-Like Approach to Word Sense Disambiguation (Tamburini, RANLP 2019)

ACL

• Fabio Tamburini. 2019. A Quantum-Like Approach to Word Sense Disambiguation. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 1176–1185, Varna, Bulgaria. INCOMA Ltd..