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NLPresearch (talk | contribs) Added Transformers to paraphrase identification. In recent years, most research papers use some kind of transformer as the estimation model. |
NLPresearch (talk | contribs) Added an open article version to one of the introductory citations for an EMNLP paper. |
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{{short description|Automatic generation or recognition of paraphrased text}}
{{about|automated generation and recognition of paraphrases||Paraphrase (disambiguation)}}
'''Paraphrase''' or '''paraphrasing''' in [[computational linguistics]] is the [[natural language processing]] task of detecting and generating [[paraphrase]]s. Applications of paraphrasing are varied including information retrieval, [[question answering]], [[Automatic summarization|text summarization]], and [[plagiarism detection]].<ref name=Socher /> Paraphrasing is also useful in the [[evaluation of machine translation]],<ref name=Callison>{{cite conference |last=Callison-Burch |first=Chris |title=Syntactic Constraints on Paraphrases Extracted from Parallel Corpora |conference=EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing |date=October 25–27, 2008 |place=Honolulu, Hawaii |pages=196–205|url=https://dl.acm.org/citation.cfm?id=1613743}}</ref> as well as [[semantic parsing]]<ref>Berant, Jonathan, and Percy Liang. "[http://www.aclweb.org/anthology/P14-1133 Semantic parsing via paraphrasing]." Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vol. 1. 2014.</ref> and [[natural language generation|generation]]<ref>{{Cite journal |last=Wahle |first=Jan Philip |last2=Ruas |first2=Terry |last3=Kirstein |first3=Frederic |last4=Gipp |first4=Bela |date=2022 |title=How Large Language Models are Transforming Machine-Paraphrase Plagiarism |url=https://arxiv.org/pdf/2210.03568.pdf |journal=Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing |___location=Online and Abu Dhabi, United Arab Emirates}}</ref> of new samples to expand existing [[Text corpus|corpora]].<ref name=Barzilay />
== Paraphrase generation ==
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