@inproceedings{mille-etal-2017-forge,
title = "{FORG}e at {S}em{E}val-2017 Task 9: Deep sentence generation based on a sequence of graph transducers",
author = "Mille, Simon and
Carlini, Roberto and
Burga, Alicia and
Wanner, Leo",
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/add-emnlp-2024-awards/S17-2158/",
doi = "10.18653/v1/S17-2158",
pages = "920--923",
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."
}
Markdown (Informal)
[FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers](https://preview.aclanthology.org/add-emnlp-2024-awards/S17-2158/) (Mille et al., SemEval 2017)
ACL