|
<term>
Oral communication
</term>
|
is
|
ubiquitous and carries important information
|
#2
Oral communicationis ubiquitous and carries important information yet it is also time consuming to document. |
|
and carries important information yet it
|
is
|
also time consuming to document . Given
|
#10
Oral communication is ubiquitous and carries important information yet it is also time consuming to document. |
|
conversation
</term>
for documentation . The question
|
is
|
, however , how an interesting information
|
#38
The question is, however, how an interesting information piece would be found in a large database. |
|
</term>
and detect those automatically which
|
is
|
shown on a large
<term>
database
</term>
of
|
#153
Several extensions of this basic idea are being discussed and/or evaluated: Similar to activities one can define subsets of larger database and detect those automatically which is shown on a large database of TV shows. |
|
<term>
DARPA Communicator program
</term>
[ 1 ]
|
is
|
funding the development of a
<term>
distributed
|
#234
To support engaging human users in robust, mixed-initiative speech dialogue interactions which reach beyond current capabilities in dialogue systems, the DARPA Communicator program [1] is funding the development of a distributed message-passing infrastructure for dialogue systems which all Communicator participants are using. |
|
</term>
. We describe how this information
|
is
|
used in a
<term>
prototype system
</term>
designed
|
#318
We describe how this information is used in a prototype system designed to support information workers' access to a pharmaceutical news archive as part of their industry watch function. |
|
document
</term>
. The purpose of this research
|
is
|
to test the efficacy of applying
<term>
automated
|
#549
The purpose of this research is to test the efficacy of applying automated evaluation techniques, originally devised for the evaluation of human language learners, to the output of machine translation (MT) systems. |
|
<term>
Listen-Communicate-Show ( LCS )
</term>
|
is
|
a new paradigm for
<term>
human interaction
|
#784
Listen-Communicate-Show (LCS)is a new paradigm for human interaction with data sources. |
|
supply or information request . The request
|
is
|
passed to a
<term>
mobile , intelligent agent
|
#849
The request is passed to a mobile, intelligent agent for execution at the appropriate database. |
|
</term>
changes or when a
<term>
request
</term>
|
is
|
complete . We have demonstrated this capability
|
#884
Requestors can also instruct the system to notify them when the status of a request changes or when a requestis complete. |
|
prediction
</term>
.
<term>
Sentence planning
</term>
|
is
|
a set of inter-related but distinct tasks
|
#1295
Sentence planningis a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decision of how to combine them into one or more sentences. |
|
inter-related but distinct tasks , one of which
|
is
|
<term>
sentence scoping
</term>
, i.e. the
|
#1307
Sentence planning is a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decision of how to combine them into one or more sentences. |
|
</term>
whose
<term>
rating
</term>
on average
|
is
|
only 5 % worse than the
<term>
top human-ranked
|
#1449
We show that the trained SPR learns to select a sentence plan whose rating on average is only 5% worse than the top human-ranked sentence plan. |
|
<term>
parsing technique
</term>
whose purpose
|
is
|
to improve the practical efficiency of
<term>
|
#1690
In this paper, we study a parsing technique whose purpose is to improve the practical efficiency of RCL parsers. |
|
are given . While
<term>
paraphrasing
</term>
|
is
|
critical both for
<term>
interpretation and
|
#1755
While paraphrasingis critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. |
|
approximation of the
<term>
formal analysis
</term>
that
|
is
|
compatible with the
<term>
search engine
</term>
|
#1893
I show that the performance of a search engine can be improved dramatically by incorporating an approximation of the formal analysis that is compatible with the search engine's operational semantics. |
|
semantics
</term>
. The value of this approach
|
is
|
that as the
<term>
operational semantics
</term>
|
#1908
The value of this approach is that as the operational semantics of natural language applications improve, even larger improvements are possible. |
|
been proposed , but a fundamental concern
|
is
|
whether the
<term>
quality
</term>
of
<term>
|
#2031
Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete with hand-crafted template-based or rule-based approaches. |
|
utterance classification performance
</term>
that
|
is
|
surprisingly close to what can be achieved
|
#2239
The method combines domain independent acoustic models with off-the-shelf classifiers to give utterance classification performance that is surprisingly close to what can be achieved using conventional word-trigram recognition requiring manual transcription. |
|
method ,
<term>
unsupervised training
</term>
|
is
|
first used to train a
<term>
phone n-gram
|
#2261
In our method, unsupervised trainingis first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |