other,11-1-P01-1009,ak formal analysis for a large class of <term> words </term> called <term> alternative markers </term>
other,13-1-P01-1009,ak large class of <term> words </term> called <term> alternative markers </term> , which includes other ( than ) ,
other,1-2-P01-1009,ak such ( as ) , and besides . These <term> words </term> appear frequently enough in <term>
other,6-2-P01-1009,ak </term> appear frequently enough in <term> dialog </term> to warrant serious attention , yet
tech,14-2-P01-1009,ak warrant serious attention , yet present <term> natural language search engines </term> perform poorly on <term> queries </term>
other,21-2-P01-1009,ak search engines </term> perform poorly on <term> queries </term> containing them . I show that the
measure(ment),4-3-P01-1009,ak </term> containing them . I show that the <term> performance </term> of a <term> search engine </term> can
tech,7-3-P01-1009,ak that the <term> performance </term> of a <term> search engine </term> can be improved dramatically by incorporating
tech,26-3-P01-1009,ak analysis that is compatible with the <term> search engine 's operational semantics </term> . The value of this approach is that
tech,9-4-P01-1009,ak value of this approach is that as the <term> operational semantics </term> of <term> natural language applications
tech,12-4-P01-1009,ak <term> operational semantics </term> of <term> natural language applications </term> improve , even larger improvements
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