We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
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...
A critical aspect of any explanation module is the set of user questions the system will be able to address. However, there has been relatively little work on listing and organizi...
Deborah L. McGuinness, Alyssa Glass, Michael Wolve...
This paper describes the procedure adopted by the three co-ordinators of the CLEF 2003 question answering track (ITC-irst, UNED and ILLC) to create the question set for the monoli...