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    <titleInfo>
        <title>Finding Individual Word Sense Changes and their Delay in Appearance</title>
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    <name type="personal">
        <namePart type="given">Nina</namePart>
        <namePart type="family">Tahmasebi</namePart>
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        <dateIssued>2017-09</dateIssued>
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            <title>Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017</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>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>INCOMA Ltd.</publisher>
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    <abstract>We present a method for detecting word sense changes by utilizing automatically induced word senses. Our method works on the level of individual senses and allows a word to have e.g. one stable sense and then add a novel sense that later experiences change. Senses are grouped based on polysemy to find linguistic concepts and we can find broadening and narrowing as well as novel (polysemous and homonymic) senses. We evaluate on a testset, present recall and estimates of the time between expected and found change.</abstract>
    <identifier type="citekey">tahmasebi-risse-2017-finding</identifier>
    <identifier type="doi">10.26615/978-954-452-049-6_095</identifier>
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        <date>2017-09</date>
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%0 Conference Proceedings
%T Finding Individual Word Sense Changes and their Delay in Appearance
%A Tahmasebi, Nina
%A Risse, Thomas
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
%D 2017
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F tahmasebi-risse-2017-finding
%X We present a method for detecting word sense changes by utilizing automatically induced word senses. Our method works on the level of individual senses and allows a word to have e.g. one stable sense and then add a novel sense that later experiences change. Senses are grouped based on polysemy to find linguistic concepts and we can find broadening and narrowing as well as novel (polysemous and homonymic) senses. We evaluate on a testset, present recall and estimates of the time between expected and found change.
%R 10.26615/978-954-452-049-6_095
%U https://doi.org/10.26615/978-954-452-049-6_095
%P 741-749

Markdown (Informal)

[Finding Individual Word Sense Changes and their Delay in Appearance](https://doi.org/10.26615/978-954-452-049-6_095) (Tahmasebi & Risse, RANLP 2017)

• Finding Individual Word Sense Changes and their Delay in Appearance (Tahmasebi & Risse, RANLP 2017)

ACL

• Nina Tahmasebi and Thomas Risse. 2017. Finding Individual Word Sense Changes and their Delay in Appearance. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 741–749, Varna, Bulgaria. INCOMA Ltd..