In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...
The continuous development of the Internet has resulted in an exponential increase in the amount of available information. A popular way to access this information is by submittin...
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manual...
Jiajun Yan, David B. Bracewell, Fuji Ren, Shingo K...
In today's IT-centric, regulated and competitive environment, businesses rely more heavily on IT technologies. Organizations are often challenged by customers, business partn...
Alfred Ka Yiu Wong, Nandan Paramesh, Pradeep Kumar...
The main contribution of this paper is to suggest a novel technique for automatic creation of accurate ensembles. The technique proposed, named GEMS, first trains a large number o...
The need to provide computers with the ability to estimate the affective state of their users is a major requirement for the practical implementation of Affective Computing concep...
Advances in sensing and communication technology make sensor networks a convenient and cost effective tool for collecting data in hard to reach and hazardous areas Increasingly, s...
Populating the Cyc Knowledge Base (KB) has been a manual process until very recently. However, there is currently enough knowledge in Cyc for it to be feasible to attempt to acqui...
Purvesh Shah, David Schneider, Cynthia Matuszek, R...
A natural language generation system must generate expressions that allow a reader to identify the entities to which they refer. This paper describes the creation of referring-exp...
Jill Nickerson, Stuart M. Shieber, Barbara J. Gros...