other,17-1-N06-2009,bq |
to variations in the phrasing of an
<term>
|
information need
|
</term>
. Finding the preferred
<term>
language
|
#10746
State-of-the-art Question Answering (QA) systems are very sensitive to variations in the phrasing of aninformation need. |
other,15-4-N06-2009,bq |
</term>
with respect to the original
<term>
|
question
|
</term>
. There are several approaches that
|
#10797
We found a potential increase of 35% in MRR with respect to the originalquestion. |
other,17-3-N06-2009,bq |
<term>
QA system
</term>
performance on
<term>
|
paraphrased questions
|
</term>
. We found a potential increase of
|
#10779
We investigate that claim by adopting a simple MT-based paraphrasing technique and evaluating QA system performance onparaphrased questions. |
tech,1-1-N06-2009,bq |
its performance . State-of-the-art
<term>
|
Question Answering ( QA ) systems
|
</term>
are very sensitive to variations
|
#10730
State-of-the-artQuestion Answering ( QA ) systems are very sensitive to variations in the phrasing of an information need. |
other,3-2-N06-2009,bq |
need
</term>
. Finding the preferred
<term>
|
language
|
</term>
for such a
<term>
need
</term>
is a valuable
|
#10752
Finding the preferredlanguage for such a need is a valuable task. |
other,7-2-N06-2009,bq |
preferred
<term>
language
</term>
for such a
<term>
|
need
|
</term>
is a valuable task . We investigate
|
#10756
Finding the preferred language for such aneed is a valuable task. |
tech,13-3-N06-2009,bq |
paraphrasing technique
</term>
and evaluating
<term>
|
QA system
|
</term>
performance on
<term>
paraphrased questions
|
#10775
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,bq |
found a potential increase of 35 % in
<term>
|
MRR
|
</term>
with respect to the original
<term>
|
#10791
We found a potential increase of 35% inMRR with respect to the original question. |