FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers

Simon Mille, Roberto Carlini, Alicia Burga, Leo Wanner


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
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
920–923
Language:
URL:
https://www.aclweb.org/anthology/S17-2158
DOI:
10.18653/v1/S17-2158
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2158.pdf