#21957A 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 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,29-4-H91-1077,ak
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 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,50-5-H91-1077,ak
from those
<term>
words
</term>
to the
<term>
alternative senses
</term>
of the
<term>
polysemous word
</term>
#22150Or, (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.