FORGe at WebNLG 2017

Mille, Simon; Dasiopoulou, Stamatia

FORGe at WebNLG 2017

Citation

Mille S, Dasiopoulou S. FORGe at WebNLG 2017. Barcelona: Universitat Pompeu Fabra. Department of Information and Communications Technologies, 2017. Report No.: 17-09.

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.