4 citations · 9 across the 5 of their papers we have counts for
3 papers · 1 filter
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning
Gabriel Marzinotto, Geraldine Damnati, Frédéric Béchet
This paper presents a new semantic frame parsing model, based on Berkeley FrameNet, adapted to process spoken documents in order to perform information extraction from broadcast co…
Robust Semantic Parsing with Adversarial Learning for Domain Generalization
Gabriel Marzinotto, Geraldine Damnati, Frédéric Béchet +1
This paper addresses the issue of generalization for Semantic Parsing in an adversarial framework. Building models that are more robust to inter-document variability is crucial for…
Un duel probabiliste pour départager deux présidents (LIA @ DEFT'2005)
Marc El-Bèze, Juan-Manuel Torres-Moreno, Frédéric Béchet
We present a set of probabilistic models applied to binary classification as defined in the DEFT'05 challenge. The challenge consisted a mixture of two differents problems in Natur…