W11-2018 |
an important problem for Spoken
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Dialog Understanding
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. While earlier work , done in
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W11-2018 |
speakers is a new problem in Spoken
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Dialog Understanding
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with significant impact on real
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J88-4003 |
for . Traditional approaches to
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dialog understanding
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have focused on the process of
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J88-3003 |
RECOGNITION IN DIALOG Early work in
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dialog understanding
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concentrated on apprentice-expert
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W01-1615 |
of long conversations like in
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dialog understanding
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or spoken language translation
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C04-1055 |
is in active use in our spoken
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dialog understanding
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work in several different domains
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W04-3009 |
queries in speech-driven IR , QA or
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dialog understanding
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system . However , with a post
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W03-2802 |
GDR-13 work group of CNRS on spoken
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dialog understanding
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, has proposed an evaluation
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W02-0507 |
that advanced tools ( such as
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dialog understanding
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and text mining ) are essential
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W04-0710 |
Retrieval A promising use of human
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dialog understanding
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is for the processing and retrieval
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T78-1013 |
relationship for computer systems for
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dialog understanding
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. Section B presents an example
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C90-3094 |
This project is aimed toward a
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dialog understanding
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system that can be used as part
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C90-3094 |
basic data representation scheme .
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Dialog understanding
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requires a general-purpose plan
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C90-3094 |
generating utterances . Thus ,
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dialog understanding
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will be used to recognize speech
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W04-3211 |
c.f. , Surdeanu et al. , 2003 ) ,
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dialog understanding
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, question answering , text sum
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C90-3094 |
-LSB- Den87 \ -RSB- . Thus , in a
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dialog understanding
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system , there are at least two
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C90-3094 |
. Each asser1 Currently , most
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dialog understanding
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systems start with the assumptions
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