FORGe at WebNLG 2017

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• dc.contributor.author Mille, Simonca
• dc.contributor.author Dasiopoulou, Stamatiaca
• dc.date.accessioned 2018-04-06T17:54:08Z
• dc.date.available 2018-04-06T17:54:08Z
• dc.date.issued 2017
• dc.description.abstract This paper describes the FORGe generator at E2E. The input triples are mapped onto sentences by applying a series of rule-based graph-transducers and aggregation grammars to template predicate-argument structures associated to each property. We submitted two primary systems to the task, one based on the grammars, and one based on templates, and one secondary system, which is a variation of the grammar-based one.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Mille S, Dasiopoulou S. FORGe at WebNLG 2017. Barcelona: Universitat Pompeu Fabra. Department of Information and Communications Technologies, 2017. Report No.: 17-09.
• dc.identifier.uri http://hdl.handle.net/10230/34306
• dc.language.iso eng
• dc.publisher Universitat Pompeu Fabraca
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.title FORGe at WebNLG 2017ca
• dc.type info:eu-repo/semantics/workingPaper
• dc.type.version info:eu-repo/semantics/publishedVersion