Abstract
We present the contribution of Universitat Pompeu Fabra's NLP group to the SemEval Task 9.2 (AMR-to-English Generation). The proposed generation pipeline comprises: (i) a series of rule-based graph-transducers for the syntacticization of the input graphs and the resolution of morphological agreements, and (ii) an off-the-shelf statistical linearization component.
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CITATION STYLE
Mille, S., Carlini, R., Burga, A., & Wanner, L. (2017). FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 920–923). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/S17-2158
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