W01-0804 complex Boolean descriptions and sentence aggregation . 1 Logic in GRE A key question
E06-2008 ellipsis are essential tools for the sentence aggregation component of any language generator
W15-4727 focuses on language aspects as sentence aggregation , enumerative sentence construction
W13-2106 Barzilay and Lapata ( 2006 ) consider sentence aggregation . Given a set of facts that a
P13-2100 Barzilay and Lapata ( 2006 ) consider sentence aggregation . Given a set of facts that a
P13-1121 quantitative measure of the degree of sentence aggregation in a summarization system . Second
P13-1121 measure to quantify the degree of sentence aggregation exhibited by a summarizer , which
W09-2808 revision part is achieved with the sentence aggregation and smoothing modules . The cohesion
W14-4409 different text complexity levels , a sentence aggregation step is needed . The aggregation
W13-0113 post-processing constraints ( e.g. sentence aggregation and pronoun generation ) . For
W08-1123 effects of comparisons from those of sentence aggregation . For jazz texts , comparisons
P15-1153 can be regarded as a result of sentence aggregation and fusion ( Cheung and Penn
P13-1121 summarizers are more prone to sentence aggregation than system sum - marizers ,
P13-2100 selection , lexicaliza - tion , and sentence aggregation as an ILP joint optimization
W08-1123 texts had either comparisons and sentence aggregations , or neither . In our study ,
W13-2106 selection , lexicalization , and sentence aggregation as an ILP joint optimization
W14-4409 text . We propose an approach for sentence aggregation and lexical choice that allows
P99-1072 . In contrast to knowledgerich sentence aggregation approaches explored in the past
W09-3941 including sentence order - ing , sentence aggregation , discourse cue insertion and
P13-1121 in both tasks . 4.1 Study 1 : Sentence aggregation We first confirm that human summarizers
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