Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications of paraphrasing are varied including information retrieval, question answering, text summarization, and plagiarism detection.[1] Paraphrasing is also useful in the evaluation of machine translation,[2] as well as semantic parsing[3] and generation[4] of new samples to expand existing corpora.[5]
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Socherwas invoked but never defined (see the help page). - ^ Callison-Burch, Chris (October 25–27, 2008). Syntactic Constraints on Paraphrases Extracted from Parallel Corpora. EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing. Honolulu, Hawaii. pp. 196–205.
- ^ Berant, Jonathan, and Percy Liang. "Semantic parsing via paraphrasing." Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Vol. 1. 2014.
- ^ Wahle, Jan Philip; Ruas, Terry; Kirstein, Frederic; Gipp, Bela (2022). "How Large Language Models are Transforming Machine-Paraphrase Plagiarism". Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Online and Abu Dhabi, United Arab Emirates. pp. 952–963. arXiv:2210.03568. doi:10.18653/v1/2022.emnlp-main.62.
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