Current networked information systems on the Internet, whilst extremely successful, run into problems of fragmentation, consistency, scalability, and loss of orientation. The deve...
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S....
This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...
An application generator has resulted from the authors' efforts to improve the development of interactive database applications. The developed tool is based on a meta-base. T...