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

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Título:	FORGe at SemEval-2017 Task 9: deep sentence generation based on a sequence of graph transducers
Autor/a:	Mille, Simon; Carlini, Roberto; Burga Díaz, Alicia; Wanner, Leo
Abstract:	Comunicació presentada a: The 11th International Workshop on Semantic Evaluations (SemEval-2017), celebrada del 3 al 4 d'agost de 2017 a Vancouver, Canadà.
Abstract:	We present the contribution of Universitat Pompeu Fabra’s NLP group to the Sem-Eval Task 9.2 (AMR-to-English Generation). The proposed generation pipeline comprises: (i) a series of rule-based graphtransducers for the syntacticization of the input graphs and the resolution of morphological agreements, and (ii) an off-theshelf statistical linearization component.
Abstract:	The work described in this paper has been partially funded by the European Commission under the contract numbers FP7-ICT-610411, H2020- 645012-RIA, H2020-700024-RIA, and H2020-DRS-01-2015.
Materia(s):	-Language generation -Graph transducers -Deep sentence generation
Derechos:	© ACL, Creative Commons Attribution 4.0 License
Tipo de documento:	Objeto de conferencia Artículo - Versión publicada
Editor:	ACL (Association for Computational Linguistics)
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Rodríguez Fernández, Sara; Espinosa-Anke, Luis; Carlini, Roberto; Wanner, Leo

Rodríguez Fernández, Sara; Carlini, Roberto; Espinosa-Anke, Luis; Wanner, Leo

Rodríguez Fernández, Sara; Espinosa-Anke, Luis; Carlini, Roberto; Wanner, Leo

Ten-Ventura, Carla; Carlini, Roberto; Dasiopoulou, Stamatia; Llorach, Gerard; Wanner, Leo

Domínguez Bajo, Mónica; Burga Díaz, Alicia; Farrús, Mireia; Wanner, Leo

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