Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
We introduce a method for learning query transformations that improves the ability to retrieve answers to questions from an information retrieval system. During the training stage...
This paper describes the architecture of a Bulgarian–Bulgarian question answering system — BulQA. The system relies on a partially parsed corpus for answer extraction. The que...
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...