| other,17-1-N06-2009,ak | State-of-the-art <term> Question Answering ( QA ) systems </term> are very sensitive to variations in the phrasing of an <term> information need </term> . | #11683 State-of-the-art Question Answering (QA) systems are very sensitive to variations in the phrasing of aninformation need. | |
| tech,8-3-N06-2009,ak | We investigate that claim by adopting a simple <term> MT-based paraphrasing technique </term> and evaluating <term> QA system performance </term> on paraphrased questions . | #11707 We investigate that claim by adopting a simpleMT-based paraphrasing technique and evaluating QA system performance on paraphrased questions. | |
| tech,1-1-N06-2009,ak | State-of-the-art <term> Question Answering ( QA ) systems </term> are very sensitive to variations in the phrasing of an <term> information need </term> . | #11667 State-of-the-artQuestion Answering ( QA ) systems are very sensitive to variations in the phrasing of an information need. | |
| other,7-2-N06-2009,ak | Finding the preferred language for such a <term> need </term> is a valuable task . | #11693 Finding the preferred language for such aneed is a valuable task. | |
| other,13-3-N06-2009,ak | We investigate that claim by adopting a simple <term> MT-based paraphrasing technique </term> and evaluating <term> QA system performance </term> on paraphrased questions . | #11712 We investigate that claim by adopting a simple MT-based paraphrasing technique and evaluatingQA system performance on paraphrased questions. | |
| measure(ment),9-4-N06-2009,ak | We found a potential increase of 35 % in <term> MRR </term> with respect to the original question . | #11728 We found a potential increase of 35% inMRR with respect to the original question. |
