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        <title>Straight to the Tree: Constituency Parsing with Neural Syntactic Distance</title>
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            <namePart type="given">Yusuke</namePart>
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    <abstract>In this work, we propose a novel constituency parsing scheme. The model first predicts a real-valued scalar, named syntactic distance, for each split position in the sentence. The topology of grammar tree is then determined by the values of syntactic distances. Compared to traditional shift-reduce parsing schemes, our approach is free from the potentially disastrous compounding error. It is also easier to parallelize and much faster. Our model achieves the state-of-the-art single model F1 score of 92.1 on PTB and 86.4 on CTB dataset, which surpasses the previous single model results by a large margin.</abstract>
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%0 Conference Proceedings
%T Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
%A Shen, Yikang
%A Lin, Zhouhan
%A Jacob, Athul Paul
%A Sordoni, Alessandro
%A Courville, Aaron
%A Bengio, Yoshua
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F shen-etal-2018-straight
%X In this work, we propose a novel constituency parsing scheme. The model first predicts a real-valued scalar, named syntactic distance, for each split position in the sentence. The topology of grammar tree is then determined by the values of syntactic distances. Compared to traditional shift-reduce parsing schemes, our approach is free from the potentially disastrous compounding error. It is also easier to parallelize and much faster. Our model achieves the state-of-the-art single model F1 score of 92.1 on PTB and 86.4 on CTB dataset, which surpasses the previous single model results by a large margin.
%R 10.18653/v1/P18-1108
%U https://aclanthology.org/P18-1108
%U https://doi.org/10.18653/v1/P18-1108
%P 1171-1180

Markdown (Informal)

[Straight to the Tree: Constituency Parsing with Neural Syntactic Distance](https://aclanthology.org/P18-1108) (Shen et al., ACL 2018)

• Straight to the Tree: Constituency Parsing with Neural Syntactic Distance (Shen et al., ACL 2018)

ACL

• Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron Courville, and Yoshua Bengio. 2018. Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1171–1180, Melbourne, Australia. Association for Computational Linguistics.