Large-scale deep linguistic processing IN COLLABORATION WITH: Analyse Linguistique Profonde A Grande Echelle (ALPAGE)

Large-scale linguistic processing IN COLLABORATION WITH: Analyse Linguistique Profonde A Grande Echelle (ALPAGE)

CEPAGE Chercher et Essaimer dans les Plates-formes À Grande Echelle Searching and dissemination of information on large-scale platforms Project-Team proposal – CR Bordeaux - Sud-Ouest

1 Composition • Project-Team Leader – Olivier Beaumont, assistant professor, ENSEIRB • Staff members – Nicolas Bonichon, assistant professor, Univ. Bordeaux 1 – Lionel Eyraud, CR2 INRIA, from 09/07 – Cyril Gavoille, Professor, Univ. Bordeaux 1 – Nicolas Hanusse, CR1 CNRS, LaBRI – David Ilcinkas, CR2 CNRS, LaBRI – Ralf Klasing, CR1 CNRS, LaBRI • External Collaborator – Philippe Duchon, assistant...

Skillex : a graph-based lexical score for measuring the semantic efficiency of used verbs by human subjects describing actions

Dictionaries are sociocultural objects that can be used as underlying structures of cognitive science models. We first show that the lexical networks constructed from dictionaries, despite a surface disagreement at links level, share a common topological structure. We assume that this deep structure reflects the semantic organisation of the lexicon shared by the members of a linguistic communit...

Branch-and-Bound with Peer-to-Peer for Large-Scale Grids. (Branchement et Elagage sur Grilles Pair-à-Pair à Grande-Echelle)

Résumé 174

Fast and Scalable HPSG Parsing

We investigated the efficacy of beam search parsing and deep parsing techniques in probabilistic HPSG parsing. We first tested the beam thresholding and iterative parsing. Next, we tested three techniques originally developed for deep parsing: quick check, large constituent inhibition, and hybrid parsing with a CFG chunk parser. The quick check, iterative parsing and hybrid parsing greatly cont...