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        <title>WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING</title>
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    <name type="personal">
        <namePart type="given">Tawseef</namePart>
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    <name type="personal">
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        <namePart type="given">Ahmad</namePart>
        <namePart type="family">Lawaye</namePart>
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            <title>Proceedings of the 17th International Conference on Natural Language Processing (ICON)</title>
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        <name type="personal">
            <namePart type="given">Pushpak</namePart>
            <namePart type="family">Bhattacharyya</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <namePart type="given">Dipti</namePart>
            <namePart type="given">Misra</namePart>
            <namePart type="family">Sharma</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Rajeev</namePart>
            <namePart type="family">Sangal</namePart>
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            <publisher>NLP Association of India (NLPAI)</publisher>
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    <abstract>Every language used in this word has ambiguous words. The process of analyzing the word tokens and assigning the correct meanings to the ambiguous words according the context in which they are used is called word sense disambiguation(WSD). WSD is a very hot research topic in Natural Language Processing. The main purpose of my research work is to tackle the WSD problem for Kashmiri language using Supervised Machine Learning Approaches</abstract>
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        <url>https://aclanthology.org/2020.icon-main.32</url>
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%0 Conference Proceedings
%T WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING
%A Mir, Tawseef Ahmad
%A Lawaye, Aadil Ahmad
%Y Bhattacharyya, Pushpak
%Y Sharma, Dipti Misra
%Y Sangal, Rajeev
%S Proceedings of the 17th International Conference on Natural Language Processing (ICON)
%D 2020
%8 December
%I NLP Association of India (NLPAI)
%C Indian Institute of Technology Patna, Patna, India
%F mir-lawaye-2020-word
%X Every language used in this word has ambiguous words. The process of analyzing the word tokens and assigning the correct meanings to the ambiguous words according the context in which they are used is called word sense disambiguation(WSD). WSD is a very hot research topic in Natural Language Processing. The main purpose of my research work is to tackle the WSD problem for Kashmiri language using Supervised Machine Learning Approaches
%U https://aclanthology.org/2020.icon-main.32
%P 243-245

Markdown (Informal)

[WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING](https://aclanthology.org/2020.icon-main.32) (Mir & Lawaye, ICON 2020)

• WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING (Mir & Lawaye, ICON 2020)

ACL

• Tawseef Ahmad Mir and Aadil Ahmad Lawaye. 2020. WORD SENSE DISAMBIUATION FOR KASHMIRI LANGUAGE USING SUPERVISED MACHINE LEARNING. In Proceedings of the 17th International Conference on Natural Language Processing (ICON), pages 243–245, Indian Institute of Technology Patna, Patna, India. NLP Association of India (NLPAI).