|
adapted to
<term>
dialog systems
</term>
, and
|
how
|
the high cost of hand-crafting
<term>
knowledge-based
|
#1009
We show how research in generation can be adapted to dialog systems, and how the high cost of hand-crafting knowledge-based generation systems can be overcome by employing machine learning techniques. |
|
Zernik87 ] . Second , we show in this paper
|
how
|
a
<term>
lexical hierarchy
</term>
is used
|
#15875
Second, we show in this paper how a lexical hierarchy is used in predicting new linguistic concepts. |
|
translation systems
</term>
, and demonstrate
|
how
|
our application can be used by
<term>
developers
|
#7662
We incorporate this analysis into a diagnostic tool intended for developers of machine translation systems, and demonstrate how our application can be used by developers to explore patterns in machine translation output. |
|
translation probabilities
</term>
, and show
|
how
|
it can be refined to take
<term>
contextual
|
#9739
We define a paraphrase probability that allows paraphrases extracted from a bilingual parallel corpus to be ranked using translation probabilities, and show how it can be refined to take contextual information into account. |
|
<term>
monolingual UCG
</term>
, we will show
|
how
|
the two can be integrated , and present
|
#15140
After introducing this approach to MT system design, and the basics of monolingual UCG, we will show how the two can be integrated, and present an example from an implemented bi-directional Engllsh-Spanish fragment. |
|
classifiers
</term>
. First , we investigate
|
how
|
well the
<term>
addressee
</term>
of a
<term>
|
#10257
First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. |
|
time
</term>
. Furthermore , we will show
|
how
|
some
<term>
evaluation measures
</term>
can
|
#10390
Furthermore, we will show how some evaluation measures can be improved by the introduction of word-dependent substitution costs. |
|
characterization of what a
<term>
user model
</term>
is and
|
how
|
it can be used . The types of information
|
#16061
It begins with a characterization of what a user model is and how it can be used. |
|
restrictive statements
</term>
. The paper shows
|
how
|
conventional algorithms for the analysis
|
#15307
The paper shows how conventional algorithms for the analysis of context free languages can be adapted to the CCR formalism. |
|
set representation
</term>
. We investigate
|
how
|
sets of individually high-precision
<term>
|
#20071
We investigate how sets of individually high-precision rules can result in a low precision when used together, and develop some theory about these probably-correct rules. |
|
based on processing . Finally , it shows
|
how
|
processing accounts can be described formally
|
#21196
Finally, it shows how processing accounts can be described formally and declaratively in terms of Dynamic Grammars. |
|
Discourse processing
</term>
requires recognizing
|
how
|
the
<term>
utterances
</term>
of the
<term>
discourse
|
#14330
Discourse processing requires recognizing how the utterances of the discourse aggregate into segments, recognizing the intentions expressed in the discourse and the relationships among intentions, and tracking the discourse through the operation of the mechanisms associated with attentional state. |
|
</term>
, the
<term>
theory
</term>
specifies
|
how
|
different information in
<term>
memory
</term>
|
#11951
Unlike logic, the theory specifies how different information in memory affects the certainty of the conclusions drawn. |
|
standard
<term>
text browser
</term>
. We describe
|
how
|
this information is used in a
<term>
prototype
|
#315
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. |
|
documentation . The question is , however ,
|
how
|
an interesting information piece would
|
#42
The question is, however, how an interesting information piece would be found in a large database. |
|
this
<term>
complexity
</term>
, we describe
|
how
|
<term>
disjunctive
</term>
values can be specified
|
#14841
To deal with this complexity, we describe how disjunctive values can be specified in a way which delays expansion to disjunctive normal form. |
|
broad range of
<term>
texts
</term>
to show
|
how
|
the distribution of
<term>
demonstrative
|
#15202
We examine a broad range of texts to show how the distribution of demonstrative forms and functions is genre dependent. |
|
that
<term>
users
</term>
need by analyzing
|
how
|
a
<term>
user
</term>
interacts with a system
|
#11680
FERRET utilizes a novel approach to Q/A known as predictive questioning which attempts to identify the questions (and answers) that users need by analyzing how a user interacts with a system while gathering information related to a particular scenario. |
|
particular , we here elaborate on principles of
|
how
|
the
<term>
global behavior
</term>
of a
<term>
|
#21069
In particular, we here elaborate on principles of how the global behavior of a lexically distributed grammar and its corresponding parser can be specified in terms of event type networks and event networks, resp. |
|
probabilities
</term>
is unstable . Finally , we show
|
how
|
this new
<term>
tagger
</term>
achieves state-of-the-art
|
#5599
Finally, we show how this new tagger achieves state-of-the-art results in a supervised, non-training intensive framework. |