Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Abstract: Detecting the current task of a user is essential for providing her with contextualized and personalized support, and using Contextual Attention Metadata (CAM) can help d...
Andreas S. Rath, Didier Devaurs, Stefanie N. Linds...
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
In a good team, members do not only perform their individual task, they also coordinate their actions with other members of the team. Developing such team skills usually involves e...
Jurriaan van Diggelen, Tijmen Muller, Karel van de...
In Minimum Error Rate Training (MERT), BLEU is often used as the error function, despite the fact that it has been shown to have a lower correlation with human judgment than other...