#22175Or, (2) the context of the polysemous word will be used as a key to search a large corpus; all words found to occur in that context will be noted; WordNet will then be used to estimate the semantic distance from those words to the alternative senses of the polysemous word; and that sense will be chosen that is closest in meaning to other words occurring in the samecontext.
other,54-4-H91-1077,ak
for these derived strings ; and that
<term>
sense
</term>
will be chosen that corresponds to
#22081Either, (1) words related in meaning to the alternative senses of the polysemous word will be retrieved; new strings will be derived by substituting these related words into the context of the polysemous word; a large textual corpus will then be searched for these derived strings; and thatsense will be chosen that corresponds to the derived string that is found most often in the corpus.
tech,18-6-H91-1077,ak
<term>
mechanical translation
</term>
,
<term>
intelligent tutoring systems
</term>
, and elsewhere . A system is described
#22195If successful, this procedure could have practical applications to problems of information retrieval, mechanical translation,intelligent tutoring systems, and elsewhere.
lr,15-1-H91-1077,ak
on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
#21953A method of sense resolution is proposed that is based on WordNet, an on-linelexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses.
other,29-4-H91-1077,ak
will be derived by substituting these
<term>
related words
</term>
into the
<term>
context
</term>
of the
#22056Either, (1) words related in meaning to the alternative senses of the polysemous word will be retrieved; new strings will be derived by substituting theserelated words into the context of the polysemous word; a large textual corpus will then be searched for these derived strings; and that sense will be chosen that corresponds to the derived string that is found most often in the corpus.
other,2-3-H91-1077,ak
processing
</term>
, as follows . When a
<term>
word
</term>
with multiple
<term>
senses
</term>
is
#22012When aword with multiple senses is encountered, one of two procedures will be followed.
other,8-4-H91-1077,ak
( 1 )
<term>
words
</term>
related in
<term>
meaning
</term>
to the
<term>
alternative senses
</term>
#22035Either, (1) words related inmeaning to the alternative senses of the polysemous word will be retrieved; new strings will be derived by substituting these related words into the context of the polysemous word; a large textual corpus will then be searched for these derived strings; and that sense will be chosen that corresponds to the derived string that is found most often in the corpus.
other,39-1-H91-1077,ak
</term>
) as labeled pointers between
<term>
word senses
</term>
. With
<term>
WordNet
</term>
, it is
#21977A method of sense resolution is proposed that is based on WordNet, an on-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers betweenword senses.
#21957A method of sense resolution is proposed that is based on WordNet, an on-line lexical database that incorporatessemantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses.
tech,3-1-H91-1077,ak
specific
<term>
corpora
</term>
. A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
#21941A method ofsense resolution is proposed that is based on WordNet, an on-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses.
#21960A method of sense resolution is proposed that is based on WordNet, an on-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses.
tool,35-5-H91-1077,ak
<term>
context
</term>
will be noted ;
<term>
WordNet
</term>
will then be used to estimate the
#22135Or, (2) the context of the polysemous word will be used as a key to search a large corpus; all words found to occur in that context will be noted;WordNet will then be used to estimate the semantic distance from those words to the alternative senses of the polysemous word; and that sense will be chosen that is closest in meaning to other words occurring in the same context.
#21966A method of sense resolution is proposed that is based on WordNet, an on-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy,meronymy, causal and troponymic entailment) as labeled pointers between word senses.
#21962A method of sense resolution is proposed that is based on WordNet, an on-line lexical database that incorporates semantic relations (synonymy,antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses.
other,11-4-H91-1077,ak
related in
<term>
meaning
</term>
to the
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
#22038Either, (1) words related in meaning to thealternative senses of the polysemous word will be retrieved; new strings will be derived by substituting these related words into the context of the polysemous word; a large textual corpus will then be searched for these derived strings; and that sense will be chosen that corresponds to the derived string that is found most often in the corpus.
other,70-5-H91-1077,ak
closest in
<term>
meaning
</term>
to other
<term>
words
</term>
occurring in the same
<term>
context
#22170Or, (2) the context of the polysemous word will be used as a key to search a large corpus; all words found to occur in that context will be noted; WordNet will then be used to estimate the semantic distance from those words to the alternative senses of the polysemous word; and that sense will be chosen that is closest in meaning to otherwords occurring in the same context.
other,43-5-H91-1077,ak
</term>
will then be used to estimate the
<term>
semantic distance
</term>
from those
<term>
words
</term>
to the
#22143Or, (2) the context of the polysemous word will be used as a key to search a large corpus; all words found to occur in that context will be noted; WordNet will then be used to estimate thesemantic distance from those words to the alternative senses of the polysemous word; and that sense will be chosen that is closest in meaning to other words occurring in the same context.
tech,15-6-H91-1077,ak
<term>
information retrieval
</term>
,
<term>
mechanical translation
</term>
,
<term>
intelligent tutoring systems
#22192If successful, this procedure could have practical applications to problems of information retrieval,mechanical translation, intelligent tutoring systems, and elsewhere.
other,5-3-H91-1077,ak
When a
<term>
word
</term>
with multiple
<term>
senses
</term>
is encountered , one of two procedures
#22015When a word with multiplesenses is encountered, one of two procedures will be followed.
other,24-5-H91-1077,ak
search a
<term>
large corpus
</term>
; all
<term>
words
</term>
found to occur in that
<term>
context
#22124Or, (2) the context of the polysemous word will be used as a key to search a large corpus; allwords found to occur in that context will be noted; WordNet will then be used to estimate the semantic distance from those words to the alternative senses of the polysemous word; and that sense will be chosen that is closest in meaning to other words occurring in the same context.