|
system development
</term>
and porting to
|
new
|
<term>
domains
</term>
via
<term>
knowledge-based
|
#506
(iii) Rapid system development and porting to new domains via knowledge-based automated acquisition of grammars. |
|
Listen-Communicate-Show ( LCS )
</term>
is a
|
new
|
paradigm for
<term>
human interaction with
|
#786
Listen-Communicate-Show (LCS) is a new paradigm for human interaction with data sources. |
other,21-7-H01-1049,bq |
applications of this
<term>
technology
</term>
in
<term>
|
new
|
domains
</term>
. Recent advances in
<term>
|
#908
We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this technology innew domains. |
|
recognition
</term>
has brought to light a
|
new
|
problem : as
<term>
dialog systems
</term>
|
#941
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. |
|
</term>
, a
<term>
sentence planner
</term>
, and a
|
new
|
methodology for automatically training
<term>
|
#1349
In this paper, we present SPoT, a sentence planner, and a new methodology for automatically training SPoT on the basis of feedback provided by human judges. |
|
baseline
</term>
of 54.55 % ) . We propose a
|
new
|
<term>
phrase-based translation model
</term>
|
#2542
We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. |
|
constraint-based parser/generator
</term>
. We present a
|
new
|
<term>
part-of-speech tagger
</term>
that demonstrates
|
#2912
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on multiple consecutive words, (iii) effective use of priors in conditional loglinear models, and (iv) fine-grained modeling of unknown word features. |
|
predicate-argument structures
</term>
. We also introduce a
|
new
|
way of automatically identifying
<term>
predicate
|
#3733
We also introduce a new way of automatically identifying predicate argument structures, which is central to our IE paradigm. |
|
undisambiguated
<term>
corpus data
</term>
. We describe a
|
new
|
approach which involves clustering
<term>
|
#3905
We describe a new approach which involves clustering subcategorization frame (SCF) distributions using the Information Bottleneck and nearest neighbour methods. |
tech,17-1-P03-1030,bq |
Detection and Tracking tasks
</term>
of
<term>
|
new
|
event detection
</term>
. In this paper we
|
#4059
Link detection has been regarded as a core technology for the Topic Detection and Tracking tasks ofnew event detection. |
tech,9-2-P03-1030,bq |
<term>
story link detection
</term>
and
<term>
|
new
|
event detection
</term>
as
<term>
information
|
#4072
In this paper we formulate story link detection andnew event detection as information retrieval task and hypothesize on the impact of precision and recall on both systems. |
|
these arguments , we introduce a number of
|
new
|
performance enhancing techniques including
|
#4102
Motivated by these arguments, we introduce a number of new performance enhancing techniques including part of speech tagging, new similarity measures and expanded stop lists. |
|
including
<term>
part of speech tagging
</term>
,
|
new
|
<term>
similarity measures
</term>
and expanded
|
#4112
Motivated by these arguments, we introduce a number of new performance enhancing techniques including part of speech tagging, new similarity measures and expanded stop lists. |
|
algorithm
</term>
for automatically acquiring
|
new
|
<term>
stems
</term>
from a 155 million
<term>
|
#4720
To improve the segmentation accuracy, we use an unsupervised algorithm for automatically acquiring new stems from a 155 million word unsegmented corpus, and re-estimate the model parameters with the expanded vocabulary and training corpus. |
|
these
<term>
features
</term>
. We suggest a
|
new
|
goal and evaluation criterion for
<term>
|
#5280
We suggest a new goal and evaluation criterion for word similarity measures. |
|
<term>
word similarity measures
</term>
. The
|
new
|
criterion -
<term>
meaning-entailing substitutability
|
#5291
The new criterion - meaning-entailing substitutability - fits the needs of semantic-oriented NLP applications and can be evaluated directly (independent of an application) at a good level of human agreement. |
|
positive effect on both tasks . We present a
|
new
|
<term>
HMM tagger
</term>
that exploits
<term>
|
#5499
We present a new HMM tagger that exploits context on both sides of a word to be tagged, and evaluate it in both the unsupervised and supervised case. |
|
is unstable . Finally , we show how this
|
new
|
<term>
tagger
</term>
achieves state-of-the-art
|
#5601
Finally, we show how this new tagger achieves state-of-the-art results in a supervised, non-training intensive framework. |
|
<term>
corpora
</term>
. This paper proposes a
|
new
|
methodology to improve the
<term>
accuracy
|
#6118
This paper proposes a new methodology to improve the accuracy of a term aggregation system using each author's text as a coherent corpus. |
|
thesis statements
</term>
) . We describe a
|
new
|
system that enhances
<term>
Criterion
</term>
|
#6673
We describe a new system that enhances Criterion's capability, by evaluating multiple aspects of coherence in essays. |