other,6-1-H92-1045,ak </term> . It is well-known that there are <term> polysemous words </term> like <term> sentence </term> whose <term>
other,9-1-H92-1045,ak are <term> polysemous words </term> like <term> sentence </term> whose <term> meaning </term> or <term>
other,11-1-H92-1045,ak </term> like <term> sentence </term> whose <term> meaning </term> or <term> sense </term> depends on the
other,13-1-H92-1045,ak </term> whose <term> meaning </term> or <term> sense </term> depends on the <term> context of use
other,17-1-H92-1045,ak or <term> sense </term> depends on the <term> context of use </term> . We have recently reported on two
tech,7-2-H92-1045,ak have recently reported on two new <term> word-sense disambiguation systems </term> , one trained on bilingual material
lr-prod,18-2-H92-1045,ak trained on bilingual material ( the <term> Canadian Hansards </term> ) and the other trained on monolingual
lr-prod,29-2-H92-1045,ak trained on monolingual material ( <term> Roget 's Thesaurus </term> and <term> Grolier 's Encyclopedia </term>
lr-prod,33-2-H92-1045,ak <term> Roget 's Thesaurus </term> and <term> Grolier 's Encyclopedia </term> ) . As this work was nearing completion
other,12-3-H92-1045,ak completion , we observed a very strong <term> discourse effect </term> . That is , if a <term> polysemous
other,5-4-H92-1045,ak discourse effect </term> . That is , if a <term> polysemous word </term> such as <term> sentence </term> appears
other,9-4-H92-1045,ak <term> polysemous word </term> such as <term> sentence </term> appears two or more times in a well-written
other,18-4-H92-1045,ak two or more times in a well-written <term> discourse </term> , it is extremely likely that they
other,31-4-H92-1045,ak that they will all share the same <term> sense </term> . This paper describes an experiment
other,16-5-H92-1045,ak and found that the tendency to share <term> sense </term> in the same <term> discourse </term>
other,20-5-H92-1045,ak share <term> sense </term> in the same <term> discourse </term> is extremely strong ( 98 % ) . This
model,10-6-H92-1045,ak be used as an additional source of <term> constraint </term> for improving the performance of
tech,17-6-H92-1045,ak for improving the performance of the <term> word-sense disambiguation algorithm </term> . In addition , it could also be
model,20-7-H92-1045,ak </term> that did not make use of the <term> discourse constraint </term> . This paper describes an extension
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