|
how an interesting information piece would
|
be
|
found in a
<term>
large database
</term>
.
|
#48
The question is, however, how an interesting information piece would be found in a large database. |
|
. An alternative
<term>
index
</term>
could
|
be
|
the activity such as discussing , planning
|
#92
An alternative index could be the activity such as discussing, planning, informing, story-telling, etc. |
|
dominance distribution of speakers
</term>
might
|
be
|
available on the
<term>
surface
</term>
and
|
#175
Emotions and other indices such as the dominance distribution of speakers might be available on the surface and could be used directly. |
|
available on the
<term>
surface
</term>
and could
|
be
|
used directly . Despite the small size
|
#182
Emotions and other indices such as the dominance distribution of speakers might be available on the surface and could be used directly. |
|
effectiveness of these
<term>
indices
</term>
can
|
be
|
obtained . To support engaging human users
|
#203
Despite the small size of the databases used some results about the effectiveness of these indices can be obtained. |
|
</term>
and
<term>
scenario templates
</term>
- can
|
be
|
used to enhance access to
<term>
text collections
|
#299
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. |
|
positive indicates further work needs to
|
be
|
done on the
<term>
interface
</term>
to make
|
#368
We also report results of a preliminary, qualitative user evaluation of the system, which while broadly positive indicates further work needs to be done on the interface to make users aware of the increased potential of IE-enhanced text browsers. |
|
tested this to see if similar criteria could
|
be
|
elicited from duplicating the experiment
|
#671
We tested this to see if similar criteria could be elicited from duplicating the experiment using machine translation output. |
|
whether they believed the sample output to
|
be
|
an
<term>
expert human translation
</term>
|
#729
The subjects were given three minutes per extract to determine whether they believed the sample output to be an expert human translation or a machine translation. |
|
involved in the decision making process will
|
be
|
presented here .
<term>
Listen-Communicate-Show
|
#776
The results of this experiment, along with a preliminary analysis of the factors involved in the decision making process will be presented here. |
|
<term>
user
</term>
tells them , they need to
|
be
|
more sophisticated at responding to the
|
#959
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. |
|
how research in
<term>
generation
</term>
can
|
be
|
adapted to
<term>
dialog systems
</term>
,
|
#1002
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. |
|
knowledge-based generation systems
</term>
can
|
be
|
overcome by employing
<term>
machine learning
|
#1019
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. |
|
<term>
bag-of-words methods
</term>
are shown to
|
be
|
equivalent to
<term>
segment order-sensitive
|
#1571
Further,in their optimum configuration, bag-of-words methods are shown to be equivalent to segment order-sensitive methods in terms of retrieval accuracy, but much faster. |
|
revealed many attractive properties which may
|
be
|
used in
<term>
NLP
</term>
. In particular
|
#1616
The theoretical study of the range concatenation grammar [RCG] formalism has revealed many attractive properties which may be used in NLP. |
|
concatenation languages [ RCL ]
</term>
can
|
be
|
parsed in
<term>
polynomial time
</term>
and
|
#1631
In particular, range concatenation languages [RCL] can be parsed in polynomial time and many classical grammatical formalisms can be translated into equivalent RCGs without increasing their worst-case parsing time complexity. |
|
classical
<term>
grammatical formalisms
</term>
can
|
be
|
translated into equivalent
<term>
RCGs
</term>
|
#1642
In particular, range concatenation languages [RCL] can be parsed in polynomial time and many classical grammatical formalisms can be translated into equivalent RCGs without increasing their worst-case parsing time complexity. |
|
any
<term>
tree adjoining grammar
</term>
can
|
be
|
parsed in
<term>
O ( n6 ) time
</term>
. In
|
#1670
For example, after translation into an equivalent RCG, any tree adjoining grammar can be parsed in O(n6) time. |
|
</term>
of a
<term>
search engine
</term>
can
|
be
|
improved dramatically by incorporating
|
#1881
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. |
|
<term>
Montague semantics
</term>
which can
|
be
|
viewed as a
<term>
formal computation
</term>
|
#2001
Here we emphasize the connection to Montague semantics which can be viewed as a formal computation of the logical form. |