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    <titleInfo>
        <title>Configurable Dependency Tree Extraction from CCG Derivations</title>
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    <name type="personal">
        <namePart type="given">Kilian</namePart>
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            <title>Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)</title>
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        <name type="personal">
            <namePart type="given">Marie-Catherine</namePart>
            <namePart type="family">de Marneffe</namePart>
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        <name type="personal">
            <namePart type="given">Miryam</namePart>
            <namePart type="family">de Lhoneux</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Joakim</namePart>
            <namePart type="family">Nivre</namePart>
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        <name type="personal">
            <namePart type="given">Sebastian</namePart>
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    <abstract>We revisit the problem of extracting dependency structures from the derivation structures of Combinatory Categorial Grammar (CCG). Previous approaches are often restricted to a narrow subset of CCG or support only one flavor of dependency tree. Our approach is more general and easily configurable, so that multiple styles of dependency tree can be obtained. In an initial case study, we show promising results for converting English, German, Italian, and Dutch CCG derivations from the Parallel Meaning Bank into (unlabeled) UD-style dependency trees.</abstract>
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%0 Conference Proceedings
%T Configurable Dependency Tree Extraction from CCG Derivations
%A Evang, Kilian
%Y de Marneffe, Marie-Catherine
%Y de Lhoneux, Miryam
%Y Nivre, Joakim
%Y Schuster, Sebastian
%S Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona, Spain (Online)
%F evang-2020-configurable
%X We revisit the problem of extracting dependency structures from the derivation structures of Combinatory Categorial Grammar (CCG). Previous approaches are often restricted to a narrow subset of CCG or support only one flavor of dependency tree. Our approach is more general and easily configurable, so that multiple styles of dependency tree can be obtained. In an initial case study, we show promising results for converting English, German, Italian, and Dutch CCG derivations from the Parallel Meaning Bank into (unlabeled) UD-style dependency trees.
%U https://aclanthology.org/2020.udw-1.10/
%P 87-93

Markdown (Informal)

[Configurable Dependency Tree Extraction from CCG Derivations](https://aclanthology.org/2020.udw-1.10/) (Evang, UDW 2020)

• Configurable Dependency Tree Extraction from CCG Derivations (Evang, UDW 2020)

ACL

• Kilian Evang. 2020. Configurable Dependency Tree Extraction from CCG Derivations. In Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), pages 87–93, Barcelona, Spain (Online). Association for Computational Linguistics.