measure(ment),8-1-E99-1034,ak explores the issue of using different <term> co-occurrence similarities </term> between <term> terms </term> for separating
other,11-1-E99-1034,ak co-occurrence similarities </term> between <term> terms </term> for separating <term> query terms </term>
other,14-1-E99-1034,ak between <term> terms </term> for separating <term> query terms </term> that are useful for <term> retrieval
tech,20-1-E99-1034,ak query terms </term> that are useful for <term> retrieval </term> from those that are harmful . The
other,19-2-E99-1034,ak similar to each other than to other <term> query terms </term> . Preliminary experiments with <term>
measure(ment),3-3-E99-1034,ak </term> . Preliminary experiments with <term> similarities </term> computed using <term> first-order and
other,6-3-E99-1034,ak <term> similarities </term> computed using <term> first-order and second-order co-occurrence </term> seem to confirm the hypothesis . <term>
measure(ment),0-4-E99-1034,ak </term> seem to confirm the hypothesis . <term> Term similarities </term> could then be used for determining
other,9-4-E99-1034,ak then be used for determining which <term> query terms </term> are useful and best reflect the <term>
other,17-4-E99-1034,ak </term> are useful and best reflect the <term> user 's information need </term> . A possible application would be
measure(ment),14-5-E99-1034,ak source of evidence for tuning the <term> weights </term> of the <term> query terms </term> . We
other,17-5-E99-1034,ak tuning the <term> weights </term> of the <term> query terms </term> . We present an operable definition
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