This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This ...
James L. Crowley, Oliver Brdiczka, Patrick Reignie...
Medical words exhibit a rich and productive morphology. Morphological knowledge is therefore very important for any medical language processing application. We propose a simple and...
Automatic algorithms in conjunction with longitudinal MR brain images can be used to measure cerebral atrophy, which is particularly pronounced in several types of dementia. An atr...
Oscar Camara-Rey, Beatrix I. Sneller, Gerard R. Ri...
We investigate the utility of an algorithm for translation lexicon acquisition (SABLE), used previously on a very large corpus to acquire general translation lexicons, when that a...
In this paper, we focus on the domain ontology acquisition from Chinese corpus by extracting rules designed for Chinese phrases. These rules are noun sequences with part-of-speech...