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        <title>Detection of Compound Nouns and Light Verb Constructions using IndoWordNet</title>
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    <name type="personal">
        <namePart type="given">Dhirendra</namePart>
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    <name type="personal">
        <namePart type="given">Sudha</namePart>
        <namePart type="family">Bhingardive</namePart>
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    <name type="personal">
        <namePart type="given">Pushpak</namePart>
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            <title>Proceedings of the 8th Global WordNet Conference (GWC)</title>
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            <namePart type="given">Christiane</namePart>
            <namePart type="family">Fellbaum</namePart>
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    <abstract>Detection of MultiWord Expressions (MWEs) is one of the fundamental problems in Natural Language Processing. In this paper, we focus on two categories of MWEs - Compound Nouns and Light Verb Constructions. These two categories can be tackled using knowledge bases, rather than pure statistics. We investigate usability of IndoWordNet for the detection of MWEs. Our IndoWordNet based approach uses semantic and ontological features of words that can be extracted from IndoWordNet. This approach has been tested on Indian languages viz., Assamese, Bengali, Hindi, Konkani, Marathi, Odia and Punjabi. Results show that ontological features are found to be very useful for the detection of light verb constructions, while use of semantic properties for the detection of compound nouns is found to be satisfactory. This approach can be easily adapted by other Indian languages. Detected MWEs can be interpolated into WordNets as they help in representing semantic knowledge.</abstract>
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        <date>2016-27–30 jan</date>
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%0 Conference Proceedings
%T Detection of Compound Nouns and Light Verb Constructions using IndoWordNet
%A Singh, Dhirendra
%A Bhingardive, Sudha
%A Bhattacharyyaa, Pushpak
%Y Fellbaum, Christiane
%Y Vossen, Piek
%Y Mititelu, Verginica Barbu
%Y Forascu, Corina
%S Proceedings of the 8th Global WordNet Conference (GWC)
%D 2016
%8 27–30 jan
%I Global Wordnet Association
%C Bucharest, Romania
%F singh-etal-2016-detection
%X Detection of MultiWord Expressions (MWEs) is one of the fundamental problems in Natural Language Processing. In this paper, we focus on two categories of MWEs - Compound Nouns and Light Verb Constructions. These two categories can be tackled using knowledge bases, rather than pure statistics. We investigate usability of IndoWordNet for the detection of MWEs. Our IndoWordNet based approach uses semantic and ontological features of words that can be extracted from IndoWordNet. This approach has been tested on Indian languages viz., Assamese, Bengali, Hindi, Konkani, Marathi, Odia and Punjabi. Results show that ontological features are found to be very useful for the detection of light verb constructions, while use of semantic properties for the detection of compound nouns is found to be satisfactory. This approach can be easily adapted by other Indian languages. Detected MWEs can be interpolated into WordNets as they help in representing semantic knowledge.
%U https://aclanthology.org/2016.gwc-1.56
%P 404-410

Markdown (Informal)

[Detection of Compound Nouns and Light Verb Constructions using IndoWordNet](https://aclanthology.org/2016.gwc-1.56) (Singh et al., GWC 2016)

• Detection of Compound Nouns and Light Verb Constructions using IndoWordNet (Singh et al., GWC 2016)

ACL

• Dhirendra Singh, Sudha Bhingardive, and Pushpak Bhattacharyyaa. 2016. Detection of Compound Nouns and Light Verb Constructions using IndoWordNet. In Proceedings of the 8th Global WordNet Conference (GWC), pages 404–410, Bucharest, Romania. Global Wordnet Association.