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        <title>StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern</title>
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    <name type="personal">
        <namePart type="given">Kohsuke</namePart>
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        <namePart type="given">Misa</namePart>
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    <name type="personal">
        <namePart type="given">Yuta</namePart>
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            <namePart type="given">Lucia</namePart>
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            <namePart type="given">Matt</namePart>
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    <abstract>We present a tool for developing tree structure patterns that makes it easy to define the relations among textual phrases and create a search index for these newly defined relations. By using the proposed tool, users develop tree structure patterns through abstracting syntax trees. The tool features (1) intuitive pattern syntax, (2) unique functions such as recursive call of patterns and use of lexicon dictionaries, and (3) whole workflow support for relation development and validation. We report the current implementation of the tool and its effectiveness.</abstract>
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%0 Conference Proceedings
%T StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern
%A Yanai, Kohsuke
%A Sato, Misa
%A Yanase, Toshihiko
%A Kurotsuchi, Kenzo
%A Koreeda, Yuta
%A Niwa, Yoshiki
%Y Specia, Lucia
%Y Post, Matt
%Y Paul, Michael
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F yanai-etal-2017-struap
%X We present a tool for developing tree structure patterns that makes it easy to define the relations among textual phrases and create a search index for these newly defined relations. By using the proposed tool, users develop tree structure patterns through abstracting syntax trees. The tool features (1) intuitive pattern syntax, (2) unique functions such as recursive call of patterns and use of lexicon dictionaries, and (3) whole workflow support for relation development and validation. We report the current implementation of the tool and its effectiveness.
%R 10.18653/v1/D17-2006
%U https://aclanthology.org/D17-2006
%U https://doi.org/10.18653/v1/D17-2006
%P 31-36

Markdown (Informal)

[StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern](https://aclanthology.org/D17-2006) (Yanai et al., EMNLP 2017)

• StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern (Yanai et al., EMNLP 2017)

ACL

• Kohsuke Yanai, Misa Sato, Toshihiko Yanase, Kenzo Kurotsuchi, Yuta Koreeda, and Yoshiki Niwa. 2017. StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 31–36, Copenhagen, Denmark. Association for Computational Linguistics.