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