C04-1054 |
for existing NLP applications is
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automatic sense disambiguation
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. An automatic system can detect
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W15-2002 |
substantial computational work on
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automatic sense disambiguation
|
has been done . Recent prominent
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W11-1717 |
POS category identifiers . For
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automatic sense disambiguation
|
, we used the trained IWSD engine
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W97-0209 |
of selectional constraints for
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automatic sense disambiguation
|
in such broad-coverage settings
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J87-3003 |
each node is followed . Without
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automatic sense disambiguation
|
, taxonomic sprouting is thus
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J90-3012 |
Helsinki corpus . S. Janssen :
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Automatic sense disambiguation
|
with LDOCE . G. Kaye : A corpus
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H92-1044 |
made more useful by some kind of
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automatic sense disambiguation
|
. Also , training on the lexicographer
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H92-1116 |
for use in testing proposals for
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automatic sense disambiguation
|
. RECENT RESULTS The work falls
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W07-1508 |
and high system performance in
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automatic sense disambiguation
|
. We have demonstrated that clear
|
E93-1051 |
George C Demetriou 1 Introduction
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Automatic sense disambiguation
|
has been recognised by the research
|
W95-0105 |
This paper presents a method for
|
automatic sense disambiguation
|
of nouns appearing within sets
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W97-0206 |
et al. , 1992 ) estimate that
|
automatic sense disambiguation
|
would be at least 75 % correct
|
W99-0512 |
the performance of manual versus
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automatic sense disambiguation
|
/ sense filtering The set of
|