A* CCG parsing with a supertag and dependency factored model

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Abstract

We propose a new A* CCG parsing model in which the probability of a tree is decomposed into factors of CCG categories and its syntactic dependencies both defined on bi-directional LSTMs. Our factored model allows the precomputation of all probabilities and runs very efficiently, while modeling sentence structures explicitly via dependencies. Our model achieves the state-of-the-art results on English and Japanese CCG parsing.

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APA

Yoshikawa, M., Noji, H., & Matsumoto, Y. (2017). A* CCG parsing with a supertag and dependency factored model. In ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) (Vol. 1, pp. 277–287). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P17-1026

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