</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.
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.
lr,40-4-H91-1077,ak
the
<term>
polysemous word
</term>
; a
<term>
large textual corpus
</term>
will then be searched for these derived
#22067Either, (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; alarge 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.
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.
other,10-2-H91-1077,ak
</term>
, it is easy to retrieve sets of
<term>
semantically related words
</term>
, a facility that will be used for
#21990With WordNet, it is easy to retrieve sets ofsemantically related words, a facility that will be used for sense resolution during text processing, as follows.
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,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.
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.
#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.
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.
#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.
#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,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.
#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.
#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.
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.
#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,30-5-H91-1077,ak
words
</term>
found to occur in that
<term>
context
</term>
will be noted ;
<term>
WordNet
</term>
#22130Or, (2) the context of the polysemous word will be used as a key to search a large corpus; all words found to occur in thatcontext 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,33-4-H91-1077,ak
<term>
related words
</term>
into the
<term>
context
</term>
of the
<term>
polysemous word
</term>
#22060Either, (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 thecontext 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,36-4-H91-1077,ak
into the
<term>
context
</term>
of the
<term>
polysemous word
</term>
; a
<term>
large textual corpus
</term>
#22063Either, (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 thepolysemous 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.