With
<term>
WordNet
</term>
, it is easy to retrieve sets of
<term>
semantically related words
</term>
, a facility that will be used for
<term>
sense resolution
</term>
during
<term>
text processing
</term>
, as follows .
#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.
tool,11-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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.
tech,18-6-H91-1077,ak
If successful , this procedure could have practical applications to problems of
<term>
information retrieval
</term>
,
<term>
mechanical translation
</term>
,
<term>
intelligent tutoring systems
</term>
, and elsewhere .
#22195If successful, this procedure could have practical applications to problems of information retrieval, mechanical translation,intelligent tutoring systems, and elsewhere.
other,22-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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.
tech,24-2-H91-1077,ak
With
<term>
WordNet
</term>
, it is easy to retrieve sets of
<term>
semantically related words
</term>
, a facility that will be used for
<term>
sense resolution
</term>
during
<term>
text processing
</term>
, as follows .
#22004With WordNet, it is easy to retrieve sets of semantically related words, a facility that will be used for sense resolution duringtext processing, as follows.
other,28-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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,24-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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.
tech,15-6-H91-1077,ak
If successful , this procedure could have practical applications to problems of
<term>
information retrieval
</term>
,
<term>
mechanical translation
</term>
,
<term>
intelligent tutoring systems
</term>
, and elsewhere .
#22192If successful, this procedure could have practical applications to problems of information retrieval,mechanical translation, intelligent tutoring systems, and elsewhere.
tool,1-2-H91-1077,ak
With
<term>
WordNet
</term>
, it is easy to retrieve sets of
<term>
semantically related words
</term>
, a facility that will be used for
<term>
sense resolution
</term>
during
<term>
text processing
</term>
, as follows .
#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.
tech,12-6-H91-1077,ak
If successful , this procedure could have practical applications to problems of
<term>
information retrieval
</term>
,
<term>
mechanical translation
</term>
,
<term>
intelligent tutoring systems
</term>
, and elsewhere .
#22189If successful, this procedure could have practical applications to problems ofinformation retrieval, mechanical translation, intelligent tutoring systems, and elsewhere.
other,26-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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.
other,36-4-H91-1077,ak
Either , ( 1 )
<term>
words
</term>
related in
<term>
meaning
</term>
to the
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
will be retrieved ; new strings will be derived by substituting these
<term>
related words
</term>
into the
<term>
context
</term>
of the
<term>
polysemous word
</term>
; a
<term>
large textual corpus
</term>
will then be searched for these derived strings ; and that
<term>
sense
</term>
will be chosen that corresponds to the derived string that is found most often in the
<term>
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.
lr,20-5-H91-1077,ak
Or , ( 2 ) the
<term>
context
</term>
of the
<term>
polysemous word
</term>
will be used as a
<term>
key
</term>
to search a
<term>
large corpus
</term>
; all
<term>
words
</term>
found to occur in that
<term>
context
</term>
will be noted ;
<term>
WordNet
</term>
will then be used to estimate the
<term>
semantic distance
</term>
from those
<term>
words
</term>
to the
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
; and that
<term>
sense
</term>
will be chosen that is closest in
<term>
meaning
</term>
to other
<term>
words
</term>
occurring in the same
<term>
context
</term>
.
#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,54-5-H91-1077,ak
Or , ( 2 ) the
<term>
context
</term>
of the
<term>
polysemous word
</term>
will be used as a
<term>
key
</term>
to search a
<term>
large corpus
</term>
; all
<term>
words
</term>
found to occur in that
<term>
context
</term>
will be noted ;
<term>
WordNet
</term>
will then be used to estimate the
<term>
semantic distance
</term>
from those
<term>
words
</term>
to the
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
; and that
<term>
sense
</term>
will be chosen that is closest in
<term>
meaning
</term>
to other
<term>
words
</term>
occurring in the same
<term>
context
</term>
.
#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,75-5-H91-1077,ak
Or , ( 2 ) the
<term>
context
</term>
of the
<term>
polysemous word
</term>
will be used as a
<term>
key
</term>
to search a
<term>
large corpus
</term>
; all
<term>
words
</term>
found to occur in that
<term>
context
</term>
will be noted ;
<term>
WordNet
</term>
will then be used to estimate the
<term>
semantic distance
</term>
from those
<term>
words
</term>
to the
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
; and that
<term>
sense
</term>
will be chosen that is closest in
<term>
meaning
</term>
to other
<term>
words
</term>
occurring in the same
<term>
context
</term>
.
#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.
lr,71-4-H91-1077,ak
Either , ( 1 )
<term>
words
</term>
related in
<term>
meaning
</term>
to the
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
will be retrieved ; new strings will be derived by substituting these
<term>
related words
</term>
into the
<term>
context
</term>
of the
<term>
polysemous word
</term>
; a
<term>
large textual corpus
</term>
will then be searched for these derived strings ; and that
<term>
sense
</term>
will be chosen that corresponds to the derived string that is found most often in the
<term>
corpus
</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,39-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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,19-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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,30-1-H91-1077,ak
A method of
<term>
sense resolution
</term>
is proposed that is based on
<term>
WordNet
</term>
, an on-line
<term>
lexical database
</term>
that incorporates
<term>
semantic relations
</term>
(
<term>
synonymy
</term>
,
<term>
antonymy
</term>
,
<term>
hyponymy
</term>
,
<term>
meronymy
</term>
,
<term>
causal and troponymic entailment
</term>
) as labeled pointers between
<term>
word senses
</term>
.
#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.
tech,21-2-H91-1077,ak
With
<term>
WordNet
</term>
, it is easy to retrieve sets of
<term>
semantically related words
</term>
, a facility that will be used for
<term>
sense resolution
</term>
during
<term>
text processing
</term>
, as follows .
#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.