Abstract. This paper is concerned with the question of quantifying gradient degrees of acceptability by introducing the notion of Density in the context of constructional constrain...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
This paper introduces an novel framework for speech understanding using extended context-free grammars (ECFGs) by combining statistical methods and rule based knowledge. By only us...
In previous papers, we have presented a logic-based framework based on fusion rules for merging structured news reports [Hun00, Hun02b, Hun02a, HS03, HS04]. Structured news report...
Defect detection in images is a current task in quality control and is often integrated in partially or fully automated systems. Assessing the performances of defect detection algo...
Yann Le Meur, Jean-Michel Vignolle, Jocelyn Chanus...