Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
State-of-the-art Question Answering (QA) systems are very sensitive to variations in the phrasing of an information need. Finding the preferred language for such a need is a valuable task. We investigate that claim by adopting a simple MT-based paraphrasing technique and evaluating QA system performance on paraphrased questions. We found a potential increase of 35% in MRR with respect to the original question.
Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
Pradip Bose
VTS 1998
Raymond Wu, Jie Lu
ITA Conference 2007
Ehud Altman, Kenneth R. Brown, et al.
PRX Quantum