|
consuming to document . Given the development
|
of
|
<term>
storage media and networks
</term>
one
|
#20
Given the development of storage media and networks one could just record and store a conversation for documentation. |
|
program
</term>
[ 1 ] is funding the development
|
of
|
a
<term>
distributed message-passing infrastructure
|
#238
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. |
|
pharmaceutical news archive
</term>
as part
|
of
|
their
<term>
industry watch
</term>
function
|
#338
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. |
|
Korean-to-English translation system
</term>
consists
|
of
|
two
<term>
core modules
</term>
,
<term>
language
|
#417
The CCLINC Korean-to-English translation system consists of two core modules, language understanding and generation modules mediated by a language neutral meaning representation called a semantic frame. |
|
<term>
original document
</term>
. The purpose
|
of
|
this research is to test the efficacy of
|
#546
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. |
|
built and will demonstrate an application
|
of
|
this approach called
<term>
LCS-Marine
</term>
|
#822
We have built and will demonstrate an application of this approach called LCS-Marine. |
|
Recognition technology
</term>
have put the goal
|
of
|
naturally sounding
<term>
dialog systems
</term>
|
#922
Recent advances in Automatic Speech Recognition technology have put the goal of naturally sounding dialog systems within reach. |
|
. In this paper , we address the problem
|
of
|
combining several
<term>
language models
|
#1035
In this paper, we address the problem of combining several language models (LMs). |
|
three-tiered approach for
<term>
evaluation
</term>
|
of
|
<term>
spoken dialogue systems
</term>
. The
|
#1202
We describe a three-tiered approach for evaluationof spoken dialogue systems. |
|
</term>
.
<term>
Sentence planning
</term>
is a set
|
of
|
inter-related but distinct tasks , one
|
#1298
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. |
|
paper , we compare the relative effects
|
of
|
<term>
segment order
</term>
,
<term>
segmentation
|
#1470
In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of a translation memory system. |
|
findings are scalable . The theoretical study
|
of
|
the
<term>
range concatenation grammar [
|
#1600
The theoretical study of the range concatenation grammar [RCG] formalism has revealed many attractive properties which may be used in NLP. |
|
<term>
formal analysis
</term>
for a large class
|
of
|
<term>
words
</term>
called
<term>
alternative
|
#1825
This paper presents a formal analysis for a large class of words called alternative markers, which includes other (than), such (as), and besides. |
|
provide a
<term>
logical definition
</term>
|
of
|
<term>
Minimalist grammars
</term>
, that are
|
#1931
We provide a logical definitionof Minimalist grammars, that are Stabler's formalization of Chomsky's minimalist program. |
|
for automatically training
</term>
modules
|
of
|
a
<term>
natural language generator
</term>
|
#2017
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. |
|
hand-crafted system
</term>
. We describe a set
|
of
|
<term>
supervised machine learning
</term>
|
#2128
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. |
|
require
<term>
manual transcription
</term>
|
of
|
<term>
training data
</term>
. The method combines
|
#2219
This paper describes a method for utterance classification that does not require manual transcriptionof training data. |
|
domains
</term>
. Motivated by the success
|
of
|
<term>
ensemble methods
</term>
in
<term>
machine
|
#2310
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. |
|
ONTOSCORE
</term>
, a system for scoring sets
|
of
|
<term>
concepts
</term>
on the basis of an
<term>
|
#2447
In this paper we present ONTOSCORE, a system for scoring sets of concepts on the basis of an ontology. |
|
framework , we carry out a large number
|
of
|
experiments to understand better and explain
|
#2574
Within our framework, we carry out a large number of experiments to understand better and explain why phrase-based models outperform word-based models. |