Séminaire Donnees et APprentissage ArtificielRSS

PLUIE (Probability and Logic Unified for Information Extraction): Interim Report


01/07/2014
Intervenant(s) : Stuart Russell (Berkeley), Ole Torp Lassen (LIP6), Wei Wang (LIP6)
The goal of the PLUIE project is to investigate an old approach to understanding language: the idea that declarative text expresses information about the world. This idea is captured in the form of a probability model that describes how sentences are generated from worlds. A very simple model of this kind exhibits a number of interesting properties including robust bootstrap inferences and relation discovery. The talk will summarize the approach and cover two specific subproblems: efficient split-merge MCMC inference in an entity-mention model and flexible mention grammars for named entities.
_S. Russell est soutenu par, et cette présentation est donnée sous les auspices de, la Chaire Internationale de Recherche Blaise Pascal, financée par l'Etat et la Région Île de France, gérée par la Fondation de l'Ecole Normale Supérieure._
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benjamin.piwowarski (at) nulllip6.fr
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