N06-2009 |
to the error rate reduction .
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Paraphrase Selection
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Module . To select a para - phrase
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W11-2504 |
adaptation of specific domain of
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paraphrases selection
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. 6.3 Limitations of MonoDS Implementation
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J14-4003 |
all three approaches learn the
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paraphrase selection
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step from data , they rely on
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N06-2009 |
Experimental Results We trained the
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paraphrase selection
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module using our QA system ,
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W11-2504 |
a threshold for high precision
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paraphrase selection
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. 1 Introduction Paraphrasing
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W05-1605 |
effect of polarity filtering and of
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paraphrase selection
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in that system . 6.1 The effect
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W05-1605 |
of these optimisations supports
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paraphrase selection
|
. 1 Introduction As is well known
|
P07-1042 |
realiser with a symbolic approach to
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paraphrase selection
|
. We now compare it to existing
|
P07-1042 |
the sentence John often runs . 4
|
Paraphrase selection
|
The surface realisation algorithm
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W05-1605 |
augmented the realiser with a
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paraphrase selection
|
mechanism based on the polarity
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W05-1605 |
technique . 6.2 Paraphrase selection
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Paraphrase selection
|
permits reducing the combinatorics
|
W05-1605 |
the filtering technique . 6.2
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Paraphrase selection
|
Paraphrase selection permits
|
W11-1610 |
refining of paraphrase sets improves
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paraphrase selection
|
and is a reasonable alternative
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J14-4003 |
reranking configurations . Beam =
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paraphrase selection
|
beam ( % of first best probability
|
W05-1605 |
automaton path is ensured . 5
|
Paraphrase selection
|
As pointed out in the introduction
|
W10-0805 |
evaluation of translation . 4.1
|
Paraphrase Selection
|
for Translation Based on the
|
W05-1605 |
realised by a clefted structure .
|
Paraphrase selection
|
is implemented by parameterising
|
N06-2009 |
feature extraction module , and a
|
paraphrase selection
|
module are exe - cuted . The
|
N06-2009 |
2000 ) . We initially formulated
|
paraphrase selection
|
as a three-way classification
|
N06-2009 |
present our initial approach to
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paraphrase selection
|
which shows that , despite the
|