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