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.- Anthology ID:
- S17-2158
- Volume:
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 920–923
- Language:
- URL:
- https://aclanthology.org/S17-2158
- DOI:
- 10.18653/v1/S17-2158
- Cite (ACL):
- Simon Mille, Roberto Carlini, Alicia Burga, and Leo Wanner. 2017. FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 920–923, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers (Mille et al., SemEval 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/S17-2158.pdf