D08-1104 |
Japanese compound verbs exploiting
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supervised method
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. 3 Target Idioms For this study
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D08-1058 |
extensions of the unsupervised or
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supervised methods
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for English sentiment analysis
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D09-1027 |
performance . Generally , the
|
supervised methods
|
need manually annotated training
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C02-1004 |
disambiguated exam - ples . Usually
|
supervised methods
|
win over unsupervised methods
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C02-1004 |
accuracy to 84 % . In contrast , the
|
supervised methods
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are based on information that
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D09-1020 |
disambiguation ( SWSD ) , and evaluated a
|
supervised method
|
inspired by research in WSD .
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D09-1001 |
lexicons , as is often needed by
|
supervised methods
|
. The input to our USP system
|
C02-1004 |
divided into unsupervised and
|
supervised methods
|
. In the unsupervised methods
|
C02-1004 |
evaluated both unsupervised and
|
supervised methods
|
for PP attachment disambiguation
|
A00-2013 |
apparently , even a partially
|
supervised method
|
would be of tremendous help .
|
D08-1098 |
significantly better than the purely
|
supervised method
|
, with F1 of 0.745 compared to
|
D09-1003 |
improved performance when compared to
|
supervised methods
|
, especially on small numbers
|
C02-1148 |
gives an unfair advantage to the
|
supervised method
|
PPM which is trained on most
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C04-1036 |
distributional similarity with
|
supervised methods
|
for learning ontological relationships
|
D09-1027 |
show that classificationbased
|
supervised method
|
provides the highest keyword
|
C02-1004 |
<title> Combining unsupervised and
|
supervised methods
|
for PP attachment disambiguation
|
C02-1004 |
raw text corpora and second ,
|
supervised methods
|
trained on manually disambiguated
|
D08-1058 |
polarity in financial news text .
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Supervised methods
|
consider the sentiment analysis
|
D08-1079 |
years , both unsupervised and
|
supervised methods
|
have been proposed to analyze
|
C02-1004 |
methods One of the most successful
|
supervised methods
|
is the Back-off model as introduced
|