In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
The number of people that develop Alzheimer’s Disease (AD) is rapidly rising, while the initial diagnosis and care of AD patients typically falls on non-specialist and still tak...
Brahim Hamadicharef, Cuntai Guan, Emmanuel C. Ifea...
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
In this study, the problem of updating a printer characterization in response to systematic changes in print-device characteristics is addressed with two distinct approaches: the ...
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...