In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a &q...
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite ...
Alexei Yavlinsky, Edward Schofield, Stefan M. R&uu...
Abstract. Teleradiology, which enables distribution and sharing of digital medical images for collaborative diagnosis, has enjoyed rapid success due to the advances in telecommunic...
This paper introduces a novel corpus of natural language dialogues obtained from humans performing a cooperative, remote, search task (CReST) as it occurs naturally in a variety o...
Kathleen M. Eberhard, Hannele Nicholson, Sandra K&...
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...