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Publikováno v:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pages 1014 - 1022
Paraphrase generation is a longstanding NLP task and achieves great success with the aid of large corpora. However, transferring a paraphrasing model to another domain encounters the problem of domain shifting especially when the data is sparse. At t
Externí odkaz:
http://arxiv.org/abs/2412.17111