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        <title>Using Linguistic Data for English and Spanish Verb-Noun Combination Identification</title>
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        <namePart type="given">Uxoa</namePart>
        <namePart type="family">Iñurrieta</namePart>
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        <namePart type="given">Arantza</namePart>
        <namePart type="family">Díaz de Ilarraza</namePart>
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        <namePart type="family">Labaka</namePart>
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    <name type="personal">
        <namePart type="given">Kepa</namePart>
        <namePart type="family">Sarasola</namePart>
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    <name type="personal">
        <namePart type="given">Itziar</namePart>
        <namePart type="family">Aduriz</namePart>
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    <name type="personal">
        <namePart type="given">John</namePart>
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            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</title>
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            <namePart type="given">Yuji</namePart>
            <namePart type="family">Matsumoto</namePart>
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        <name type="personal">
            <namePart type="given">Rashmi</namePart>
            <namePart type="family">Prasad</namePart>
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    <abstract>We present a linguistic analysis of a set of English and Spanish verb+noun combinations (VNCs), and a method to use this information to improve VNC identification. Firstly, a sample of frequent VNCs are analysed in-depth and tagged along lexico-semantic and morphosyntactic dimensions, obtaining satisfactory inter-annotator agreement scores. Then, a VNC identification experiment is undertaken, where the analysed linguistic data is combined with chunking information and syntactic dependencies. A comparison between the results of the experiment and the results obtained by a basic detection method shows that VNC identification can be greatly improved by using linguistic information, as a large number of additional occurrences are detected with high precision.</abstract>
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        <url>https://aclanthology.org/C16-1082</url>
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%0 Conference Proceedings
%T Using Linguistic Data for English and Spanish Verb-Noun Combination Identification
%A Iñurrieta, Uxoa
%A Díaz de Ilarraza, Arantza
%A Labaka, Gorka
%A Sarasola, Kepa
%A Aduriz, Itziar
%A Carroll, John
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F inurrieta-etal-2016-using
%X We present a linguistic analysis of a set of English and Spanish verb+noun combinations (VNCs), and a method to use this information to improve VNC identification. Firstly, a sample of frequent VNCs are analysed in-depth and tagged along lexico-semantic and morphosyntactic dimensions, obtaining satisfactory inter-annotator agreement scores. Then, a VNC identification experiment is undertaken, where the analysed linguistic data is combined with chunking information and syntactic dependencies. A comparison between the results of the experiment and the results obtained by a basic detection method shows that VNC identification can be greatly improved by using linguistic information, as a large number of additional occurrences are detected with high precision.
%U https://aclanthology.org/C16-1082
%P 857-867

Markdown (Informal)

[Using Linguistic Data for English and Spanish Verb-Noun Combination Identification](https://aclanthology.org/C16-1082) (Iñurrieta et al., COLING 2016)

• Using Linguistic Data for English and Spanish Verb-Noun Combination Identification (Iñurrieta et al., COLING 2016)

ACL

• Uxoa Iñurrieta, Arantza Díaz de Ilarraza, Gorka Labaka, Kepa Sarasola, Itziar Aduriz, and John Carroll. 2016. Using Linguistic Data for English and Spanish Verb-Noun Combination Identification. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 857–867, Osaka, Japan. The COLING 2016 Organizing Committee.