Bypassed alignment graph for learning coordination in Japanese sentences

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Abstract

Past work on English coordination has focused on coordination scope disambiguation. In Japanese, detecting whether coordination exists in a sentence is also a problem, and the state-of-the-art alignment-based method specialized for scope disambiguation does not perform well on Japanese sentences. To take the detection of coordination into account, this paper introduces a 'bypass' to the alignment graph used by this method, so as to explicitly represent the non-existence of coordinate structures in a sentence. We also present an effective feature decomposition scheme based on the distance between words in conjuncts. © 2009 ACL and AFNLP.

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APA

Okuma, H., Hara, K., Shimbo, M., & Matsumoto, Y. (2009). Bypassed alignment graph for learning coordination in Japanese sentences. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 5–8). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667586

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