We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Identifying the regularities underlying speaker decisions to emphasize or de-emphasize an item intonationally has long been the subject of speculation and controversy. This paper ...
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
As Wikipedia grows, so do the messy byproducts of collaboration. Backlogs of administrative work are increasing, suggesting the need for more users with privileged admin status. T...
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...