|
size of the
<term>
databases
</term>
used some
|
results
|
about the effectiveness of these
<term>
indices
|
#195
Despite the small size of the databases used some results about the effectiveness of these indices can be obtained. |
|
industry watch
</term>
function . We also report
|
results
|
of a preliminary ,
<term>
qualitative user
|
#347
We also report results of a preliminary, qualitative user evaluation of the system, which while broadly positive indicates further work needs to be done on the interface to make users aware of the increased potential of IE-enhanced text browsers. |
|
</term>
at which they made this decision . The
|
results
|
of this experiment , along with a preliminary
|
#756
The results of this experiment, along with a preliminary analysis of the factors involved in the decision making process will be presented here. |
|
reference
</term>
. We provide experimental
|
results
|
that clearly show the need for a
<term>
dynamic
|
#1134
We provide experimental results that clearly show the need for a dynamic language model combination to improve the performance further. |
other,32-5-P01-1007,bq |
</term>
for a suitable
<term>
superset of L. The
|
results
|
of a practical
</term><term>
evaluation
</term>
|
#1736
The results of a practical evaluation of this method on a wide coverage English grammar are given. |
|
answering
</term>
which is based on combining the
|
results
|
from different
<term>
answering agents
</term>
|
#2340
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multi-strategy and multi-source approach to question answering which is based on combining the results from different answering agents searching for answers in multiple corpora. |
|
resolution algorithm
</term>
that combines
|
results
|
from the
<term>
answering agents
</term>
at
|
#2381
We present our multi-level answer resolution algorithm that combines results from the answering agents at the question, passage, and/or answer levels. |
|
<term>
word-based models
</term>
. Our empirical
|
results
|
, which hold for all examined
<term>
language
|
#2590
Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations. |
|
error rate
</term>
, and provide evaluation
|
results
|
involving
<term>
automatic extraction
</term>
|
#2773
We present an implementation of the model based on finite-state models, demonstrate the model's ability to significantly reduce character and word error rate, and provide evaluation results involving automatic extraction of translation lexicons from printed text. |
|
two different
<term>
algorithms
</term>
. The
|
results
|
show that it can provide a significant
|
#3272
The results show that it can provide a significant improvement in alignment quality. |
|
word alignment
</term>
. We show experimental
|
results
|
on
<term>
block selection criteria
</term>
|
#3464
We show experimental results on block selection criteria based on unigram counts and phrase length. |
|
decision tree learning
</term>
. The experimental
|
results
|
prove our claim that accurate
<term>
predicate-argument
|
#3775
The experimental results prove our claim that accurate predicate-argument structures enable high quality IE results. |
|
</term>
enable high quality
<term>
IE
</term>
|
results
|
. This paper proposes the
<term>
Hierarchical
|
#3787
The experimental results prove our claim that accurate predicate-argument structures enable high quality IEresults. |
|
</term>
and a
<term>
kernel function
</term>
. The
|
results
|
of the experiments demonstrate that the
|
#3865
The results of the experiments demonstrate that the HDAG Kernel is superior to other kernel functions and baseline methods. |
|
expanded
<term>
stop lists
</term>
. Experimental
|
results
|
validate our hypothesis . This paper concerns
|
#4121
Experimental results validate our hypothesis. |
|
candidates
</term>
for
<term>
understanding
</term>
|
results
|
and resolving the
<term>
ambiguity
</term>
|
#4198
By holding multiple candidates for understandingresults and resolving the ambiguity as the dialogue progresses, the discourse understanding accuracy can be improved. |
|
understanding process
</term>
. Experiment
|
results
|
have shown that a
<term>
system
</term>
that
|
#4255
Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiple candidates for understanding results is effective. |
|
candidates
</term>
for
<term>
understanding
</term>
|
results
|
is effective . We address appropriate
<term>
|
#4275
Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiple candidates for understandingresults is effective. |
|
</term>
or
<term>
genre
</term>
. Examples and
|
results
|
will be given for
<term>
Arabic
</term>
, but
|
#4512
Examples and results will be given for Arabic, but the approach is applicable to any language that needs affix removal. |
|
Our
<term>
resource-frugal approach
</term>
|
results
|
in 87.5 %
<term>
agreement
</term>
with a state
|
#4535
Our resource-frugal approachresults in 87.5% agreement with a state of the art, proprietary Arabic stemmer built using rules, affix lists, and human annotated text, in addition to an unsupervised component. |