Welcome to the UPF Digital Repository

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

Show simple item record

dc.contributor.author Mille, Simon
dc.contributor.author Carlini, Roberto
dc.contributor.author Burga Díaz, Alicia
dc.contributor.author Wanner, Leo
dc.date.accessioned 2017-08-31T16:48:07Z
dc.date.available 2017-08-31T16:48:07Z
dc.date.issued 2017
dc.identifier.citation Mille S, Carlini R, Burga A, Wanner L. 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 Evaluations (SemEval-2017); 2017 Aug 3-4; Vancouver, Canada. [place unknown]: ACL, 2017. p. 920-3.
dc.identifier.uri http://hdl.handle.net/10230/32722
dc.description Comunicació presentada a: The 11th International Workshop on Semantic Evaluations (SemEval-2017), celebrada del 3 al 4 d'agost de 2017 a Vancouver, Canadà.
dc.description.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.
dc.description.sponsorship 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.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017); 2017 Aug 3-4; Vancouver, Canada. [place unknown]: ACL, 2017. p. 920-3.
dc.rights © ACL, Creative Commons Attribution 4.0 License
dc.title FORGe at SemEval-2017 Task 9: deep sentence generation based on a sequence of graph transducers
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Language generation
dc.subject.keyword Graph transducers
dc.subject.keyword Deep sentence generation
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/610411
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/700024
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

Compliant to Partaking