Learning search engine specific query transformations for question answering
Proceedings of the 10th international conference on World Wide Web
Probabilistic question answering on the web
Proceedings of the 11th international conference on World Wide Web
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Performance Analysis of a Distributed Question/Answering System
IEEE Transactions on Parallel and Distributed Systems
The text retrieval conferences (TRECS)
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Information retrieval from the web: an interactive paradigm
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Semantic pattern-based user interactive question answering: user interface design and evaluation
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
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While being successful in providing keyword based access to web pages, commercial search portals, such as Google, Yahoo, AltaVista, and AOL, still lack the ability to answer questions expressed in a natural language. We explore the feasibility of a completely trainable approach to the automated question answering on the Web or large scale digital libraries. By using the inherent redundancy of large scale collections, each candidate answer found by the system is triangulated (confirmed or disconfirmed) against other possible answers. Since our approach is entirely self-learning and does not involve any linguistic resources it can be easily implemented within digital libraries or Web search portals.