FORGe at E2E 2017

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Document Type: Working paper
Version: Published version
Date: 2017
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Name: mille_E2E2017_for ...
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Citation: Mille S, Dasiopoulou S. FORGe at E2E 2017. Barcelona: Universitat Pompeu Fabra. Department of Information and Communications Technologies, 2017. Report No.: 17-12.
Permanent link: http://hdl.handle.net/10230/34307

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.
Author: Mille, Simon ; Dasiopoulou, Stamatia

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