Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Lucene in Action (In Action series)
Lucene in Action (In Action series)
International Journal of Human-Computer Studies
A self-supervised approach for extraction of attribute-value pairs from wikipedia articles
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
Open- vs. Restricted-Domain QA Systems in the Biomedical Field
Journal of Information Science
Statistical source expansion for question answering
Proceedings of the 20th ACM international conference on Information and knowledge management
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Contextual question answering for the health domain
Journal of the American Society for Information Science and Technology
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This paper describes the online demo of the QuALiM Question Answering system. While the system actually gets answers from the web by querying major search engines, during presentation answers are supplemented with relevant passages from Wikipedia. We believe that this additional information improves a user's search experience.