tech,1-1-N06-2009,bq its performance . State-of-the-art <term> Question Answering ( QA ) systems </term> are very sensitive to variations
other,17-1-N06-2009,bq to variations in the phrasing of an <term> information need </term> . Finding the preferred <term> language
tech,8-3-N06-2009,bq investigate that claim by adopting a simple <term> MT-based paraphrasing technique </term> and evaluating <term> QA system </term>
tech,13-3-N06-2009,bq paraphrasing technique </term> and evaluating <term> QA system </term> performance on <term> paraphrased questions
other,17-3-N06-2009,bq <term> QA system </term> performance on <term> paraphrased questions </term> . We found a potential increase of
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