W10-4332 |
The traditional approaches to
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dialogue evaluation
|
attempt to measure how best the
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H91-1062 |
training data than our current
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dialogue evaluation
|
mechanism . Although it would
|
W02-2116 |
This comprehensive framework for
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dialogue evaluation
|
combines various measures to
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H90-1020 |
aspects of systems . A proposal for
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dialogue evaluation
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is included in \ -LSB- 3 \ -RSB-
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W10-4324 |
Expression Generation in Spoken
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Dialogue Evaluation
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with Real Users </title> Srinivasan
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W02-0221 |
dialogue act tagging in spoken
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dialogue evaluation
|
is that a system 's dialogue
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A00-1014 |
largely based on the PARADISE
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dialogue evaluation
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scheme ( Walker et al. , 1997
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P07-1100 |
survey is presented to the user for
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dialogue evaluation
|
. The survey consists of five
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H91-1062 |
have been trying to think about
|
dialogue evaluation
|
in terms of measuring whether
|
W10-4332 |
tuning and upgrade . Their first
|
dialogue evaluation
|
KPI is task completion also called
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P06-1025 |
accuracy is more relevant for
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dialogue evaluation
|
, as it does not penalize for
|
W01-1619 |
and Arrival Times . For global
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dialogue evaluation
|
, we propose the following measures
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H91-1062 |
It is reasonable to expect that
|
dialogue evaluation
|
methodologies should be multffaceted
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W10-4332 |
improve the system . 3.4 Reassessing
|
Dialogue Evaluation
|
The traditional approaches to
|
H90-1098 |
evaluation technique for automated
|
dialogue evaluation
|
and have developed techniques
|
P04-1045 |
semantic accuracy is more useful for
|
dialogue evaluation
|
as it does not penalize for unimportant
|
W10-4332 |
technological breakthrough . Regarding the
|
dialogue evaluation
|
topic , Paek ( Paek , 2007 )
|
W01-0905 |
just a part of it . Obviously ,
|
dialogue evaluation
|
is also a matter of cost ( time
|
H91-1062 |
community have been thinking about
|
dialogue evaluation
|
in terms of whether the systems
|
W04-2302 |
and Dialogue Construction A good
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dialogue evaluation
|
is one in which all aspects of
|