For meaning representations in NLP, we focus our attention on thematic aspects and conceptual vectors. The learning strategy of conceptual vectors relies on a morphosyntaxic analy...
Didier Schwab, Mathieu Lafourcade, Violaine Prince
The conversion of scholarly journals to digital format is proceeding rapidly, especially of those from large commercial and learned society publishers. This conversion offers the ...
In response to the call for research to unlock the mystery of benefit realization in ERP adoption and theorize the important predictors' effect on ERP implementation, we cond...
This paper describes a method to minimize the immense training time of the conventional Adaboost learning algorithm in object detection by reducing the sampling area. A new algorit...
Florian Baumann, Katharina Ernst, Arne Ehlers, Bod...
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...