This study presents a novel approach to the problem of system portability across different domains: a sentiment annotation system that integrates a corpus-based classifier trained...
The enormous number of questions needed to acquire a full preference model when the size of the outcome space is large forces us to work with partial models that approximate the u...
ABSTRACT. Photographic images annotation is a complex problem. Indeed, the visual characteristics of objects of a class vary with the considered instance and the shooting condition...
We investigate the problem of a collaborative digital library collection that allows librarians and non-librarians alike to share information on specific topics through MARC reco...
In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...