We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
The purpose of this study is to develop a web-based Research Assistant System (RAS), a Knowledge Management System by community of practice, to improve the group performance of Re...
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
In this paper, we describe our work-in-progress with collaborative understanding of distributed ontologies in a multiagent framework. As reported earlier, the objective of this fr...
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...