A transition-based algorithm for unrestricted AMR parsing

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Abstract

Non-projective parsing can be useful to handle cycles and reentrancy in AMR graphs. We explore this idea and introduce a greedy leftto- right non-projective transition-based parser. At each parsing configuration, an oracle decides whether to create a concept or whether to connect a pair of existing concepts. The algorithm handles reentrancy and arbitrary cycles natively, i.e. within the transition system itself. The model is evaluated on the LDC2015E86 corpus, obtaining results close to the state of the art, including a Smatch of 64%, and showing good behavior on reentrant edges.

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APA

Vilares, D., & Gómez-Rodríguez, C. (2018). A transition-based algorithm for unrestricted AMR parsing. In NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference (Vol. 2, pp. 142–149). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/n18-2023

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