|
interesting information piece would be found in
|
a
|
<term>
large database
</term>
. Traditional
|
#51
The question is, however, how an interesting information piece would be found in a large database. |
|
features of and
<term>
requirements
</term>
for
|
a
|
genuinely useful
<term>
software infrastructure
|
#265
In this presentation, we describe the features of and requirements for a genuinely useful software infrastructure for this purpose. |
|
access to
<term>
text collections
</term>
via
|
a
|
standard
<term>
text browser
</term>
. We describe
|
#308
In this paper we show how two standard outputs from information extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser. |
|
<term>
information workers
</term>
' access to
|
a
|
<term>
pharmaceutical news archive
</term>
|
#332
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. |
|
neutral meaning representation
</term>
called
|
a
|
<term>
semantic frame
</term>
. The key features
|
#435
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. |
|
Listen-Communicate-Show ( LCS )
</term>
is
|
a
|
new paradigm for
<term>
human interaction
|
#785
Listen-Communicate-Show (LCS) is a new paradigm for human interaction with data sources. |
|
converse with their logistics system to place
|
a
|
supply or information request . The request
|
#841
Using LCS-Marine, tactical personnel can converse with their logistics system to place a supply or information request. |
|
information request . The request is passed to
|
a
|
<term>
mobile , intelligent agent
</term>
for
|
#852
The request is passed to a mobile, intelligent agent for execution at the appropriate database. |
|
</term>
to notify them when the status of
|
a
|
<term>
request
</term>
changes or when a
<term>
|
#877
Requestors can also instruct the system to notify them when the status of a request changes or when a request is complete. |
|
speech recognition
</term>
has brought to light
|
a
|
new problem : as
<term>
dialog systems
</term>
|
#940
However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what the user tells them, they need to be more sophisticated at responding to the user. |
|
string
</term>
has been obtained by using
|
a
|
different
<term>
LM
</term>
. Actually , the
|
#1111
The oracle knows the reference word string and selects the word string with the best performance (typically, word or semantic error rate) from a list of word strings, where each word string has been obtained by using a different LM. |
|
Actually , the
<term>
oracle
</term>
acts like
|
a
|
<term>
dynamic combiner
</term>
with
<term>
hard
|
#1121
Actually, the oracle acts like a dynamic combiner with hard decisions using the reference. |
|
<term>
performance
</term>
further . We suggest
|
a
|
method that mimics the behavior of the
<term>
|
#1154
We suggest a method that mimics the behavior of the oracle using a neural network or a decision tree. |
|
the U.S. military . This paper proposes
|
a
|
practical approach employing
<term>
n-gram
|
#1244
This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction and Thai-English language identification. |
|
sentence-plan-generator ( SPG )
</term>
generates
|
a
|
potentially large list of possible
<term>
|
#1386
First, a very simple, randomized sentence-plan-generator (SPG) generates a potentially large list of possible sentence plans for a given text-plan input. |
|
simple
<term>
character bigrams
</term>
produces
|
a
|
<term>
retrieval accuracy
</term>
superior
|
#1546
Over two distinct datasets, we find that indexing according to simple character bigrams produces a retrieval accuracy superior to any of the tested word N-gram models. |
|
) time
</term>
. In this paper , we study
|
a
|
<term>
parsing technique
</term>
whose purpose
|
#1685
In this paper, we study a parsing technique whose purpose is to improve the practical efficiency of RCL parsers. |
|
shared derivation forest
</term>
output by
|
a
|
prior
<term>
RCL parser
</term>
for a suitable
|
#1725
The non-deterministic parsing choices of the main parser for a language L are directed by a guide which uses the shared derivation forest output by a prior RCL parser for a suitable superset of L. |
|
evaluation
</term>
of this
<term>
method
</term>
on
|
a
|
<term>
wide coverage English grammar
</term>
|
#1745
The results of a practical evaluation of this method on a wide coverage English grammar are given. |
|
identification of paraphrases
</term>
from
|
a
|
<term>
corpus of multiple English translations
|
#1788
We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. |