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
other,24-5-H91-1077,ak search a <term> large corpus </term> ; all <term> words </term> found to occur in that <term> context
tool,35-5-H91-1077,ak <term> context </term> will be noted ; <term> WordNet </term> will then be used to estimate the
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
other,47-5-H91-1077,ak semantic distance </term> from those <term> words </term> to the <term> alternative senses </term>
other,50-5-H91-1077,ak from those <term> words </term> to the <term> alternative senses </term> of the <term> polysemous word </term>
other,54-5-H91-1077,ak <term> alternative senses </term> of the <term> polysemous word </term> ; and that <term> sense </term> will
other,67-5-H91-1077,ak </term> will be chosen that is closest in <term> meaning </term> to other <term> words </term> occurring
other,70-5-H91-1077,ak closest in <term> meaning </term> to other <term> words </term> occurring in the same <term> context
tech,12-6-H91-1077,ak practical applications to problems of <term> information retrieval </term> , <term> mechanical translation </term>
tech,15-6-H91-1077,ak <term> information retrieval </term> , <term> mechanical translation </term> , <term> intelligent tutoring systems
tech,18-6-H91-1077,ak <term> mechanical translation </term> , <term> intelligent tutoring systems </term> , and elsewhere . A system is described
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