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        <title>An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing</title>
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        <namePart type="given">Zhisong</namePart>
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    <name type="personal">
        <namePart type="given">Eduard</namePart>
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    <abstract>In this paper, we investigate the aspect of structured output modeling for the state-of-the-art graph-based neural dependency parser (Dozat and Manning, 2017). With evaluations on 14 treebanks, we empirically show that global output-structured models can generally obtain better performance, especially on the metric of sentence-level Complete Match. However, probably because neural models already learn good global views of the inputs, the improvement brought by structured output modeling is modest.</abstract>
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    <identifier type="doi">10.18653/v1/P19-1562</identifier>
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%0 Conference Proceedings
%T An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing
%A Zhang, Zhisong
%A Ma, Xuezhe
%A Hovy, Eduard
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F zhang-etal-2019-empirical
%X In this paper, we investigate the aspect of structured output modeling for the state-of-the-art graph-based neural dependency parser (Dozat and Manning, 2017). With evaluations on 14 treebanks, we empirically show that global output-structured models can generally obtain better performance, especially on the metric of sentence-level Complete Match. However, probably because neural models already learn good global views of the inputs, the improvement brought by structured output modeling is modest.
%R 10.18653/v1/P19-1562
%U https://aclanthology.org/P19-1562
%U https://doi.org/10.18653/v1/P19-1562
%P 5592-5598

Markdown (Informal)

[An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing](https://aclanthology.org/P19-1562) (Zhang et al., ACL 2019)

• An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing (Zhang et al., ACL 2019)

ACL

• Zhisong Zhang, Xuezhe Ma, and Eduard Hovy. 2019. An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5592–5598, Florence, Italy. Association for Computational Linguistics.