Comparing the performance of two TAG-based surface realisers using controlled grammar traversal

Claire Gardent 1 Benjamin Gottesman 2 Laura Perez-Beltrachini 1
1 TALARIS - Natural Language Processing: representation, inference and semantics
Inria Nancy - Grand Est, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present GENSEM, a tool for generating input semantic representations for two sentence generators based on the same reversible Tree Adjoining Grammar. We then show how GENSEM can be used to produced large and controlled benchmarks and test the relative performance of these generators.
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Claire Gardent, Benjamin Gottesman, Laura Perez-Beltrachini. Comparing the performance of two TAG-based surface realisers using controlled grammar traversal. 23rd International Conference on Computational Linguistics (COLING 2010): Posters, Aug 2010, Beijing, China. ⟨inria-00537017v2⟩

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