other,4-1-P01-1009,bq paraphrases </term> . This paper presents a <term> formal analysis </term> for a large class of <term> words </term>
other,11-1-P01-1009,bq analysis </term> for a large class of <term> words </term> called <term> alternative markers </term>
other,13-1-P01-1009,bq large class of <term> words </term> called <term> alternative markers </term> , which includes <term> other ( than
other,18-1-P01-1009,bq alternative markers </term> , which includes <term> other ( than ) </term> , <term> such ( as ) </term> , and <term>
other,23-1-P01-1009,bq includes <term> other ( than ) </term> , <term> such ( as ) </term> , and <term> besides </term> . These <term>
other,29-1-P01-1009,bq </term> , <term> such ( as ) </term> , and <term> besides </term> . These <term> words </term> appear frequently
other,1-2-P01-1009,bq </term> , and <term> besides </term> . These <term> words </term> appear frequently enough in <term>
other,6-2-P01-1009,bq </term> appear frequently enough in <term> dialog </term> to warrant serious <term> attention
other,10-2-P01-1009,bq <term> dialog </term> to warrant serious <term> attention </term> , yet present <term> natural language
tech,14-2-P01-1009,bq <term> attention </term> , yet present <term> natural language search engines </term> perform poorly on <term> queries </term>
other,21-2-P01-1009,bq search engines </term> perform poorly on <term> queries </term> containing them . I show that the
measure(ment),4-3-P01-1009,bq </term> containing them . I show that the <term> performance </term> of a <term> search engine </term> can
tech,7-3-P01-1009,bq that the <term> performance </term> of a <term> search engine </term> can be improved dramatically by incorporating
other,19-3-P01-1009,bq incorporating an approximation of the <term> formal analysis </term> that is compatible with the <term>
tech,26-3-P01-1009,bq </term> that is compatible with the <term> search engine </term> 's <term> operational semantics </term>
other,29-3-P01-1009,bq with the <term> search engine </term> 's <term> operational semantics </term> . The value of this approach is that
other,9-4-P01-1009,bq value of this approach is that as the <term> operational semantics </term> of <term> natural language applications
tech,12-4-P01-1009,bq <term> operational semantics </term> of <term> natural language applications </term> improve , even larger improvements
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