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        <title>Dependency Language Models for Transition-based Dependency Parsing</title>
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        <namePart type="given">Juntao</namePart>
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            <title>Proceedings of the 15th International Conference on Parsing Technologies</title>
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            <namePart type="given">Yusuke</namePart>
            <namePart type="family">Miyao</namePart>
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            <namePart type="given">Kenji</namePart>
            <namePart type="family">Sagae</namePart>
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    <abstract>In this paper, we present an approach to improve the accuracy of a strong transition-based dependency parser by exploiting dependency language models that are extracted from a large parsed corpus. We integrated a small number of features based on the dependency language models into the parser. To demonstrate the effectiveness of the proposed approach, we evaluate our parser on standard English and Chinese data where the base parser could achieve competitive accuracy scores. Our enhanced parser achieved state-of-the-art accuracy on Chinese data and competitive results on English data. We gained a large absolute improvement of one point (UAS) on Chinese and 0.5 points for English.</abstract>
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%0 Conference Proceedings
%T Dependency Language Models for Transition-based Dependency Parsing
%A Yu, Juntao
%A Bohnet, Bernd
%Y Miyao, Yusuke
%Y Sagae, Kenji
%S Proceedings of the 15th International Conference on Parsing Technologies
%D 2017
%8 September
%I Association for Computational Linguistics
%C Pisa, Italy
%F yu-bohnet-2017-dependency
%X In this paper, we present an approach to improve the accuracy of a strong transition-based dependency parser by exploiting dependency language models that are extracted from a large parsed corpus. We integrated a small number of features based on the dependency language models into the parser. To demonstrate the effectiveness of the proposed approach, we evaluate our parser on standard English and Chinese data where the base parser could achieve competitive accuracy scores. Our enhanced parser achieved state-of-the-art accuracy on Chinese data and competitive results on English data. We gained a large absolute improvement of one point (UAS) on Chinese and 0.5 points for English.
%U https://aclanthology.org/W17-6302
%P 11-17

Markdown (Informal)

[Dependency Language Models for Transition-based Dependency Parsing](https://aclanthology.org/W17-6302) (Yu & Bohnet, IWPT 2017)

• Dependency Language Models for Transition-based Dependency Parsing (Yu & Bohnet, IWPT 2017)

ACL

• Juntao Yu and Bernd Bohnet. 2017. Dependency Language Models for Transition-based Dependency Parsing. In Proceedings of the 15th International Conference on Parsing Technologies, pages 11–17, Pisa, Italy. Association for Computational Linguistics.