Web question answering: technology and applications to business intelligence
Dmitri G. Roussinov, José Antonio Robles-Flores · International Journal of Internet and Enterprise Management · 2005
We introduce a novel and completely trainable approach to automated open domain Question Answering (QA) on the web, for the purpose of business intelligence. Our approach does not involve any linguistic resources and can be easily implemented within any information awareness system. When tested on standard test collections, the performance of our approach was found to be comparable with that of the current top-of-the-line, complex and expensive linguistic approaches, and significantly better than that of other completely trainable approaches. We also present the design of our ongoing empirical study and the qualitative observations from our pilot experiments.