W02-1817 |
precision rates of previous unknown
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words recognition
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experiment . In addition , our
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W02-1817 |
the entire process of unknown
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words recognition
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will be listed . 2.1 Roles knowledge
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W02-1817 |
approaches are taken in Chinese unknown
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words recognition
|
. They can be broadly categorized
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W02-1817 |
experiments show that the unknown
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words recognition
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based on role tagging can achieve
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W02-1817 |
probable roles and making unknown
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words recognition
|
based on roles sequence . The
|
W03-1721 |
times in the training data . 3 New
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words recognition
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We developed a few procedures
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W02-1817 |
complicated problems of Chinese unknown
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words recognition
|
. In our approach , an unknown
|
P03-2039 |
based on role tagging for unknown
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words recognition
|
. Their method is also based
|
W02-1817 |
traditional ways to test unknown
|
words recognition
|
is to collect sentences including
|
W02-1817 |
one-for-all approach for Chinese unknown
|
words recognition
|
based on roles tagging . At first
|
W02-1817 |
The entire process of Unknown
|
words recognition
|
Input : Original sentence S ;
|
W02-1817 |
discussed as well . 1 Unknown
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words recognition
|
based on roles tagging 1.1 Lexical
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W02-1817 |
Viterbi algorithm and unknown
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words recognition
|
through maximum pattern matching
|
D09-1162 |
rough segmentation and unknown
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words recognition
|
( see Figure 3 ) . Atom segmentation
|
W03-1709 |
linguistic features shown in unknown
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words recognition
|
. In table 2 , we present a simplified
|
W03-1709 |
set . 5 * 1 Role set for unknown
|
words recognition
|
In the same way of class-based
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W02-1817 |
1999 ) -RSB- In a word , unknown
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words recognition
|
has become one of the biggest
|
W03-1709 |
tagging , disambiguation and unknown
|
words recognition
|
into a whole theoretical frame
|
W03-1709 |
, disam - biguation , unknown
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words recognition
|
and part-of speech ( POS ) tagging
|
W03-1709 |
, simple and recursive unknown
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words recognition
|
, class-based segmentation and
|