#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.
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.
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,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,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.
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.
tech,12-6-H91-1077,ak
practical applications to problems of
<term>
information retrieval
</term>
,
<term>
mechanical translation
</term>
#22189If successful, this procedure could have practical applications to problems ofinformation retrieval, mechanical translation, intelligent tutoring systems, and elsewhere.
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,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,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.
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.
#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.
#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.
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,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.
tool,1-2-H91-1077,ak
between
<term>
word senses
</term>
. With
<term>
WordNet
</term>
, it is easy to retrieve sets of
<term>
#21981WithWordNet, it is easy to retrieve sets of semantically related words, a facility that will be used for sense resolution during text processing, as follows.
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.
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.
#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.