Abstract
Abstract Meaning Representation (AMR) is a semantic formalism that has been widely adopted in the area for semantic parsing. We present in this paper our contribution to the task for Portuguese. We investigated semantic parsing methods of different paradigms, producing state of the art results for this language. We also introduced the first AMR-annotated corpus for Portuguese, a novel and better semantic parsing evaluation measure, and a new AMR-based alignment method.
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Acknowledgments
The authors are grateful to USP Research Office (PRP #668), USP/IBM/FAPESP Center for Artificial Intelligence (#2019/07665-4), and Instituto Federal do Piauí.
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Anchiêta, R.T., Pardo, T.A.S. (2022). Abstract Meaning Representation Parsing for the Brazilian Portuguese Language. In: Pinheiro, V., et al. Computational Processing of the Portuguese Language. PROPOR 2022. Lecture Notes in Computer Science(), vol 13208. Springer, Cham. https://doi.org/10.1007/978-3-030-98305-5_41
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DOI: https://doi.org/10.1007/978-3-030-98305-5_41
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