E14-1029 |
discriminate senses of a word is called
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Word Sense Discrimination
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. Context representations for
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J98-1004 |
potentially beneficial application of
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word sense discrimination
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in information access is the
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J07-2002 |
for other applications such as
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word sense discrimination
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( Schütze 1998 ) . We can
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D14-1113 |
previously differ only in the way
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word sense discrimination
|
is performed . The objective
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J98-1004 |
therefore call our approach automatic
|
word sense discrimination
|
, since we do not require manually
|
J92-1001 |
successful . We will now review
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word sense discrimination
|
and the determination of role
|
D14-1113 |
networks . Both the methods perform
|
word sense discrimination
|
as a preprocessing step by clustering
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J92-1001 |
Discrimination The problem of
|
word sense discrimination
|
is to choose , for a particular
|
H92-1044 |
less mature discipline . Yet ,
|
word sense discrimination
|
is central to many natural language
|
J92-1001 |
determining role relationships entangles
|
word sense discrimination
|
with the problem of syntactic
|
J98-1004 |
actually is . Focusing solely on
|
word sense discrimination
|
also liberates us of a serious
|
J92-1001 |
improvement that remain . 2 . Cues to
|
Word Sense Discrimination
|
The problem of word sense discrimination
|
C04-1133 |
of the verbs in the Senseval 3
|
word sense discrimination
|
task and report our initial results
|
H93-1089 |
better reference resolution and
|
word sense discrimination
|
. At the same time , we are close
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J92-1001 |
Multiple Knowledge Sources for
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Word Sense Discrimination
|
</title> Susan W McRoy Artificial
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J92-1000 |
Multiple Knowledge Sources for
|
Word Sense Discrimination
|
An Estimate of an Upper Bound
|
E06-2007 |
clustering solution . 2 Methodology In
|
word sense discrimination
|
, the number of contexts ( N
|
J92-1001 |
important sources of information for
|
word sense discrimination
|
are syntactic tags , morphology
|
D14-1113 |
from previous approaches is that
|
word sense discrimination
|
and learning embeddings are performed
|
D14-1113 |
type . The model jointly performs
|
word sense discrimination
|
and embedding learning , and
|