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