tech,4-2-N03-1026,bq Our <term> system </term> incorporates a <term> linguistic parser/generator </term> for <term> LFG </term> , a <term> transfer component </term> for <term> parse reduction </term> operating on <term> packed parse forests </term> , and a <term> maximum-entropy model </term> for <term> stochastic output selection </term> .
tech,26-2-N03-1026,bq Our <term> system </term> incorporates a <term> linguistic parser/generator </term> for <term> LFG </term> , a <term> transfer component </term> for <term> parse reduction </term> operating on <term> packed parse forests </term> , and a <term> maximum-entropy model </term> for <term> stochastic output selection </term> .
tech,8-3-N03-1026,bq Furthermore , we propose the use of standard <term> parser evaluation methods </term> for automatically evaluating the <term> summarization </term> quality of <term> sentence condensation systems </term> .
other,4-4-N03-1026,bq An <term> experimental evaluation </term> of <term> summarization </term> quality shows a close correlation between the <term> automatic parse-based evaluation </term> and a <term> manual evaluation </term> of generated <term> strings </term> .
tech,1-4-N03-1026,bq An <term> experimental evaluation </term> of <term> summarization </term> quality shows a close correlation between the <term> automatic parse-based evaluation </term> and a <term> manual evaluation </term> of generated <term> strings </term> .
tech,12-4-N03-1026,bq An <term> experimental evaluation </term> of <term> summarization </term> quality shows a close correlation between the <term> automatic parse-based evaluation </term> and a <term> manual evaluation </term> of generated <term> strings </term> .
other,17-4-N03-1026,bq An <term> experimental evaluation </term> of <term> summarization </term> quality shows a close correlation between the <term> automatic parse-based evaluation </term> and a <term> manual evaluation </term> of generated <term> strings </term> .
other,12-1-N03-1026,bq We present an application of <term> ambiguity packing and stochastic disambiguation techniques </term> for <term> Lexical-Functional Grammars ( LFG ) </term> to the domain of <term> sentence condensation </term> .
tech,10-2-N03-1026,bq Our <term> system </term> incorporates a <term> linguistic parser/generator </term> for <term> LFG </term> , a <term> transfer component </term> for <term> parse reduction </term> operating on <term> packed parse forests </term> , and a <term> maximum-entropy model </term> for <term> stochastic output selection </term> .
model,23-2-N03-1026,bq Our <term> system </term> incorporates a <term> linguistic parser/generator </term> for <term> LFG </term> , a <term> transfer component </term> for <term> parse reduction </term> operating on <term> packed parse forests </term> , and a <term> maximum-entropy model </term> for <term> stochastic output selection </term> .
tech,1-2-N03-1026,bq Our <term> system </term> incorporates a <term> linguistic parser/generator </term> for <term> LFG </term> , a <term> transfer component </term> for <term> parse reduction </term> operating on <term> packed parse forests </term> , and a <term> maximum-entropy model </term> for <term> stochastic output selection </term> .
other,15-5-N03-1026,bq Overall <term> summarization </term> quality of the proposed <term> system </term> is state-of-the-art , with guaranteed <term> grammaticality </term> of the <term> system output </term> due to the use of a <term> constraint-based parser/generator </term> .
other,1-5-N03-1026,bq Overall <term> summarization </term> quality of the proposed <term> system </term> is state-of-the-art , with guaranteed <term> grammaticality </term> of the <term> system output </term> due to the use of a <term> constraint-based parser/generator </term> .
other,21-1-N03-1026,bq We present an application of <term> ambiguity packing and stochastic disambiguation techniques </term> for <term> Lexical-Functional Grammars ( LFG ) </term> to the domain of <term> sentence condensation </term> .
tech,5-1-N03-1026,bq We present an application of <term> ambiguity packing and stochastic disambiguation techniques </term> for <term> Lexical-Functional Grammars ( LFG ) </term> to the domain of <term> sentence condensation </term> .
tech,23-5-N03-1026,bq Overall <term> summarization </term> quality of the proposed <term> system </term> is state-of-the-art , with guaranteed <term> grammaticality </term> of the <term> system output </term> due to the use of a <term> constraint-based parser/generator </term> .
tech,6-5-N03-1026,bq Overall <term> summarization </term> quality of the proposed <term> system </term> is state-of-the-art , with guaranteed <term> grammaticality </term> of the <term> system output </term> due to the use of a <term> constraint-based parser/generator </term> .
other,21-4-N03-1026,bq An <term> experimental evaluation </term> of <term> summarization </term> quality shows a close correlation between the <term> automatic parse-based evaluation </term> and a <term> manual evaluation </term> of generated <term> strings </term> .
tech,18-3-N03-1026,bq Furthermore , we propose the use of standard <term> parser evaluation methods </term> for automatically evaluating the <term> summarization </term> quality of <term> sentence condensation systems </term> .
other,17-2-N03-1026,bq Our <term> system </term> incorporates a <term> linguistic parser/generator </term> for <term> LFG </term> , a <term> transfer component </term> for <term> parse reduction </term> operating on <term> packed parse forests </term> , and a <term> maximum-entropy model </term> for <term> stochastic output selection </term> .
hide detail