Automatic generation of large-scale paraphrases. Power, R., Scott, D., & Hall, W. In In Proc. of the 3rd Int. Workshop on Paraphrasing, pages 73-79, 2005.
abstract   bibtex   
Research on paraphrase has mostly fo- cussed on lexical or syntactic variation within individual sentences. Our con- cern is with larger-scale paraphrases, from multiple sentences or paragraphs to entire documents. In this paper we address the problem of generating paraphrases of large chunks of texts. We ground our discussion through a worked example of extending an exist- ing NLG system to accept as input a source text, and to generate a range of fluent semantically-equivalent alterna- tives, varying not only at the lexical and syntactic levels, but also in document structure and layout.
@inProceedings{
 title = {Automatic generation of large-scale paraphrases},
 type = {inProceedings},
 year = {2005},
 pages = {73-79},
 id = {a84625d9-d9f2-3592-87f6-95b6f06aab91},
 created = {2013-08-08T06:59:15.000Z},
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 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
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 abstract = {Research on paraphrase has mostly fo- cussed on lexical or syntactic variation within individual sentences. Our con- cern is with larger-scale paraphrases, from multiple sentences or paragraphs to entire documents. In this paper we address the problem of generating paraphrases of large chunks of texts. We ground our discussion through a worked example of extending an exist- ing NLG system to accept as input a source text, and to generate a range of fluent semantically-equivalent alterna- tives, varying not only at the lexical and syntactic levels, but also in document structure and layout.},
 bibtype = {inProceedings},
 author = {Power, Richard and Scott, Donia and Hall, Walton},
 booktitle = {In Proc. of the 3rd Int. Workshop on Paraphrasing}
}

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