Transition-based left-corner parsing for identifying PTB-style nonlocal dependencies

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Abstract

This paper proposes a left-corner parser which can identify nonlocal dependencies. Our parser integrates nonlocal dependency identification into a transition-based system. We use a structured perceptron which enables our parser to utilize global features captured by nonlocal dependencies. An experimental result demonstrates that our parser achieves a good balance between constituent parsing and nonlocal dependency identification.

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APA

Kato, Y., & Matsubara, S. (2016). Transition-based left-corner parsing for identifying PTB-style nonlocal dependencies. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers (Vol. 2, pp. 930–940). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/p16-1088

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