#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,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.
other,16-5-H91-1077,ak
polysemous word
</term>
will be used as a
<term>
key
</term>
to search a
<term>
large corpus
</term>
#22116Or, (2) the context of the polysemous word will be used as akey 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.
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.
#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.
tool,11-1-H91-1077,ak
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
#21949A method of sense resolution is proposed that is based onWordNet, an on-line lexical database that incorporates semantic relations (synonymy, antonymy, hyponymy, meronymy, causal and troponymic entailment) as labeled pointers between word senses.
other,54-5-H91-1077,ak
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
; and that
<term>
sense
</term>
will
#22154Or, (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 thepolysemous word; and that sense will be chosen that is closest in meaning to other words occurring in the same context.
other,15-4-H91-1077,ak
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
will be retrieved ; new strings will
#22042Either, (1) words related in meaning to the alternative senses of thepolysemous 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.
#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.
lr,20-5-H91-1077,ak
used as a
<term>
key
</term>
to search a
<term>
large corpus
</term>
; all
<term>
words
</term>
found to occur
#22120Or, (2) the context of the polysemous word will be used as a key to search alarge 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.
other,67-5-H91-1077,ak
</term>
will be chosen that is closest in
<term>
meaning
</term>
to other
<term>
words
</term>
occurring
#22167Or, (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 inmeaning to other words occurring in the same context.
tech,21-2-H91-1077,ak
, a facility that will be used for
<term>
sense resolution
</term>
during
<term>
text processing
</term>
#22001With WordNet, it is easy to retrieve sets of semantically related words, a facility that will be used forsense resolution during text processing, as follows.
#21964A 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.
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,71-4-H91-1077,ak
string that is found most often in the
<term>
corpus
</term>
. Or , ( 2 ) the
<term>
context
</term>
#22098Either, (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 that sense will be chosen that corresponds to the derived string that is found most often in thecorpus.
#21968A 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,6-5-H91-1077,ak
<term>
corpus
</term>
. Or , ( 2 ) the
<term>
context
</term>
of the
<term>
polysemous word
</term>
#22106Or, (2) thecontext 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.
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.
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,47-5-H91-1077,ak
semantic distance
</term>
from those
<term>
words
</term>
to the
<term>
alternative senses
</term>
#22147Or, (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 thosewords 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.