In this paper we present a system that allows its use to build synthetic graphical documents for the performance evaluation of symbol recognition systems. The key contribution of ...
Mathieu Delalandre, Tony P. Pridmore, Ernest Valve...
Learning and reasoning from multiple documents requires students to employ the skills of sourcing (i.e., attending to and citing sources) and information integration (i.e., making ...
Mary Anne Britt, Peter M. Wiemer-Hastings, Aaron A...
As the world wide web transforms from a vehicle of information dissemination and e-commerce transactions into a writable nexus of human collaboration, the Web 2.0 technologies at ...
The vision of the Semantic Web is to reduce manual discovery and usage of Web resources (documents and services) and to allow software agents to automatically identify these Web r...
Yugyung Lee, Chintan Patel, Soon Ae Chun, James Ge...
This paper presents an approach for categorizing documents according to their implicit locational relevance. We report a thorough evaluation of several classifiers designed for th...