I05-2033 |
rely on the decision of a single
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classi er
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. Rather , all of the inducers
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H05-1048 |
with a different label by the SVM
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classi er
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. Using the SVM output ( distance
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H05-1048 |
are combined and then input to a
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classi er
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based on one-versus-all SVM classi
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C02-1052 |
plural only nouns use pair as a
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classi er
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when they are denumerated : a
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C02-1052 |
default values for number and
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( cl ) are also part of the lexicon
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H05-1031 |
for the set . The major/minor
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was run on the 107 ex - amples
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C02-1052 |
further divided depending on what
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they take . For example , pair
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E14-1010 |
implemented a simple average ratio
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which computes the average ratio
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I05-2033 |
majority voting schema for each
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, whose weights depend on the
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H01-1001 |
second the one for the respective
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. In more standard information
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I05-2033 |
Hungarian POS tagging and show how
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combination techniques can aid
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I05-2033 |
presented in Section ?? . The
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classi er
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combination and details about
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H05-1031 |
indicate that the performance of the
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|
is stable and does not vary between
|
I05-2033 |
results of the taggers by applying
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|
combination techniques . We used
|
I05-2033 |
: : : ; BT are generated and a
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|
end for ^ C ( x ) = argmax j
|
H01-1001 |
database with little e ort . The same
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classi er
|
as in Sec . 2 has been used however
|
H05-1031 |
trained solely on the DUC data . The
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classi er
|
for hearer-old/hearer-new distinction
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H05-1048 |
Architecture ture extractors , a
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classi er
|
and a post-processing module
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C04-1113 |
element reminiscent of the UML 's
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role , could be mentioned . New
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H05-1031 |
to be major characters by the
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, 30 ( 75 % ) were marked as
|