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        <title>Second-Order Semantic Dependency Parsing with End-to-End Neural Networks</title>
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    <abstract>Semantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph. In this paper, we propose a second-order semantic dependency parser, which takes into consideration not only individual dependency edges but also interactions between pairs of edges. We show that second-order parsing can be approximated using mean field (MF) variational inference or loopy belief propagation (LBP). We can unfold both algorithms as recurrent layers of a neural network and therefore can train the parser in an end-to-end manner. Our experiments show that our approach achieves state-of-the-art performance.</abstract>
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    <identifier type="doi">10.18653/v1/P19-1454</identifier>
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%0 Conference Proceedings
%T Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
%A Wang, Xinyu
%A Huang, Jingxian
%A Tu, Kewei
%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 wang-etal-2019-second
%X Semantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph. In this paper, we propose a second-order semantic dependency parser, which takes into consideration not only individual dependency edges but also interactions between pairs of edges. We show that second-order parsing can be approximated using mean field (MF) variational inference or loopy belief propagation (LBP). We can unfold both algorithms as recurrent layers of a neural network and therefore can train the parser in an end-to-end manner. Our experiments show that our approach achieves state-of-the-art performance.
%R 10.18653/v1/P19-1454
%U https://aclanthology.org/P19-1454
%U https://doi.org/10.18653/v1/P19-1454
%P 4609-4618

Markdown (Informal)

[Second-Order Semantic Dependency Parsing with End-to-End Neural Networks](https://aclanthology.org/P19-1454) (Wang et al., ACL 2019)

• Second-Order Semantic Dependency Parsing with End-to-End Neural Networks (Wang et al., ACL 2019)

ACL

• Xinyu Wang, Jingxian Huang, and Kewei Tu. 2019. Second-Order Semantic Dependency Parsing with End-to-End Neural Networks. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4609–4618, Florence, Italy. Association for Computational Linguistics.