|
using them , we can automatically extract
|
such
|
<term>
sentences
</term>
that express opinion
|
#11449
By using them, we can automatically extract such sentences that express opinion. |
|
<term>
dialog model
</term>
. The development of
|
such
|
a
<term>
model
</term>
appears to be important
|
#12360
The development of such a model appears to be important in several respects: |
|
</term>
from their
<term>
users
</term>
. While
|
such
|
<term>
decoding
</term>
is an essential underpinning
|
#12546
While such decoding is an essential underpinning, much recent work suggests that natural language interfaces will never appear cooperative or graceful unless they also incorporate numerous non-literal aspects of communication, such as robust communication procedures. |
|
non-literal aspects of communication
</term>
,
|
such
|
as robust
<term>
communication procedures
|
#12577
While such decoding is an essential underpinning, much recent work suggests that natural language interfaces will never appear cooperative or graceful unless they also incorporate numerous non-literal aspects of communication, such as robust communication procedures. |
|
of
<term>
parsing flexibilities
</term>
that
|
such
|
a system should provide . We go , on to
|
#12750
In this paper, we outline a set of parsing flexibilities that such a system should provide. |
|
</term>
, posing special problems for readers ,
|
such
|
as
<term>
misspelled words
</term>
,
<term>
missing
|
#13009
However, a great deal of natural language texts e.g., memos, rough drafts, conversation transcripts etc., have features that differ significantly from neat texts, posing special problems for readers, such as misspelled words, missing words, poor syntactic construction, missing periods, etc. |
|
essential to provide an adequate explanation of
|
such
|
<term>
discourse phenomena
</term>
as
<term>
|
#14251
The distinction among these components is essential to provide an adequate explanation of such discourse phenomena as cue phrases, referring expressions, and interruptions. |
|
</term>
. Our goal is to recognize and isolate
|
such
|
<term>
miscommunications
</term>
and circumvent
|
#14505
Our goal is to recognize and isolate such miscommunications and circumvent them. |
|
the role of
<term>
user modeling
</term>
in
|
such
|
<term>
systems
</term>
. It begins with a characterization
|
#16046
This paper explores the role of user modeling in such systems. |
|
is more describable than other approaches
|
such
|
as those employing a traditional
<term>
generative
|
#16415
We show that the proposed approach is more describable than other approaches such as those employing a traditional generative phonological approach. |
|
defeasible reasoning
</term>
, and presents
|
such
|
a treatment for
<term>
Japanese sentence
|
#16572
This paper proposes that sentence analysis should be treated as defeasible reasoning, and presents such a treatment for Japanese sentence analyses using an argumentation system by Konolige, which is a formalization of defeasible reasoning, that includes arguments and defeat rules that capture defeasibility. |
|
languages with little
<term>
inflection
</term>
|
such
|
as
<term>
English
</term>
, but fails for
<term>
|
#16766
This approach is sufficient for languages with little inflectionsuch as English, but fails for highly inflective languages such as Czech, Russian, Slovak or other Slavonic languages. |
|
<term>
highly inflective languages
</term>
|
such
|
as
<term>
Czech
</term>
,
<term>
Russian
</term>
|
#16776
This approach is sufficient for languages with little inflection such as English, but fails for highly inflective languagessuch as Czech, Russian, Slovak or other Slavonic languages. |
|
building
<term>
spelling-checkers
</term>
for
|
such
|
languages . The speed of the resulting
|
#16804
We have developed a special method for describing inflection for the purpose of building spelling-checkers for such languages. |
|
to help create and ensure the validity of
|
such
|
complex
<term>
linguistic databases
</term>
|
#17288
If we want valuable lexicons and grammars to achieve complex natural language processing, we must provide very powerful tools to help create and ensure the validity of such complex linguistic databases. |
|
edges
</term>
adjacent to it , rather than all
|
such
|
<term>
edges
</term>
as in conventional treatments
|
#17626
As each new edge is added to the chart, the algorithm checks only the topmost of the edges adjacent to it, rather than all such edges as in conventional treatments. |
|
</term>
. We propose a method of attaining
|
such
|
a design through a method of
<term>
structure-sharing
|
#17984
We propose a method of attaining such a design through a method of structure-sharing which avoids log(d) overheads often associated with structure-sharing of graphs without any use of costly dependency pointers. |
|
Transfer System ( SimTran )
</term>
, for use in
|
such
|
<term>
case-based MT ( CBMT )
</term>
. This
|
#18131
This paper proposes a new type of transfer system, called a Similarity-driven Transfer System (SimTran), for use in such case-based MT (CBMT). |
|
That is , if a
<term>
polysemous word
</term>
|
such
|
as
<term>
sentence
</term>
appears two or more
|
#19234
That is, if a polysemous wordsuch as sentence appears two or more times in a well-written discourse, it is extremely likely that they will all share the same sense. |
|
including
<term>
coordinate conjunctions
</term>
|
such
|
as
<term>
and
</term>
,
<term>
or
</term>
,
<term>
|
#19687
The authors propose a model for analyzing English sentences including coordinate conjunctionssuch as and, or, but and the equivalent words. |