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        <namePart type="given">Raksha</namePart>
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        <namePart type="given">Sudha</namePart>
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            <title>Proceedings of the 13th International Conference on Natural Language Processing</title>
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            <namePart type="given">Dipti</namePart>
            <namePart type="given">Misra</namePart>
            <namePart type="family">Sharma</namePart>
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        <name type="personal">
            <namePart type="given">Rajeev</namePart>
            <namePart type="family">Sangal</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <namePart type="given">Anil</namePart>
            <namePart type="given">Kumar</namePart>
            <namePart type="family">Singh</namePart>
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            <publisher>NLP Association of India</publisher>
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                <placeTerm type="text">Varanasi, India</placeTerm>
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%0 Conference Proceedings
%T Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis
%A Sharma, Raksha
%A Bhingardive, Sudha
%A Bhattacharyya, Pushpak
%Y Sharma, Dipti Misra
%Y Sangal, Rajeev
%Y Singh, Anil Kumar
%S Proceedings of the 13th International Conference on Natural Language Processing
%D 2016
%8 December
%I NLP Association of India
%C Varanasi, India
%F sharma-etal-2016-meaning
%U https://aclanthology.org/W16-6315
%P 115-119

Markdown (Informal)

[Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis](https://aclanthology.org/W16-6315) (Sharma et al., ICON 2016)

• Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis (Sharma et al., ICON 2016)

ACL

• Raksha Sharma, Sudha Bhingardive, and Pushpak Bhattacharyya. 2016. Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis. In Proceedings of the 13th International Conference on Natural Language Processing, pages 115–119, Varanasi, India. NLP Association of India.