FORGe at E2E 2017

dc.contributor.author	Mille, Simon
dc.contributor.author	Dasiopoulou, Stamatia
dc.date.accessioned	2018-04-06T17:54:14Z
dc.date.available	2018-04-06T17:54:14Z
dc.date.issued	2017
dc.identifier.citation	Mille S, Dasiopoulou S. FORGe at E2E 2017. Barcelona: Universitat Pompeu Fabra. Department of Information and Communications Technologies, 2017. Report No.: 17-12.
dc.identifier.uri	http://hdl.handle.net/10230/34307
dc.description.abstract	This paper describes the FORGe generator at WebNLG. The input DBpedia 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.
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.title	FORGe at E2E 2017
dc.type	info:eu-repo/semantics/workingPaper
dc.relation.projectID	info:eu-repo/grantAgreement/EC/H2020/645012
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/publishedVersion