FORGe at E2E 2017
FORGe at E2E 2017
Citation
- Mille S, Dasiopoulou S. FORGe at E2E 2017. Barcelona: Universitat Pompeu Fabra. Department of Information and Communications Technologies, 2017. Report No.: 17-12.
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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.