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},
file_attached = {false},
profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
last_modified = {2017-03-14T14:36:19.698Z},
tags = {paraphrasing},
read = {false},
starred = {false},
authored = {false},
confirmed = {false},
hidden = {false},
citation_key = {Power2005},
private_publication = {false},
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}
}
Downloads: 0
{"_id":"v2BDF4KwgB6n2GLho","bibbaseid":"power-scott-hall-automaticgenerationoflargescaleparaphrases-2005","authorIDs":[],"author_short":["Power, R.","Scott, D.","Hall, W."],"bibdata":{"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","file_attached":false,"profile_id":"5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6","group_id":"066b42c8-f712-3fc3-abb2-225c158d2704","last_modified":"2017-03-14T14:36:19.698Z","tags":"paraphrasing","read":false,"starred":false,"authored":false,"confirmed":false,"hidden":false,"citation_key":"Power2005","private_publication":false,"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","bibtex":"@inProceedings{\n title = {Automatic generation of large-scale paraphrases},\n type = {inProceedings},\n year = {2005},\n pages = {73-79},\n id = {a84625d9-d9f2-3592-87f6-95b6f06aab91},\n created = {2013-08-08T06:59:15.000Z},\n file_attached = {false},\n profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},\n group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},\n last_modified = {2017-03-14T14:36:19.698Z},\n tags = {paraphrasing},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Power2005},\n private_publication = {false},\n 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.},\n bibtype = {inProceedings},\n author = {Power, Richard and Scott, Donia and Hall, Walton},\n booktitle = {In Proc. of the 3rd Int. Workshop on Paraphrasing}\n}","author_short":["Power, R.","Scott, D.","Hall, W."],"bibbaseid":"power-scott-hall-automaticgenerationoflargescaleparaphrases-2005","role":"author","urls":{},"downloads":0,"html":""},"bibtype":"inProceedings","creationDate":"2020-02-06T23:48:12.233Z","downloads":0,"keywords":[],"search_terms":["automatic","generation","large","scale","paraphrases","power","scott","hall"],"title":"Automatic generation of large-scale paraphrases","year":2005}