Error Types in Transformer-Based Paraphrasing Models: A Taxonomy, Paraphrase Annotation Model and Dataset
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70341-6_20
Reference49 articles.
1. Alikaniotis, D., Raheja, V.: The unreasonable effectiveness of transformer language models in grammatical error correction. In: BEA@ACL (2019)
2. Bannard, C., Callison, C.: Paraphrasing with bilingual parallel corpora. In: ACL’05, pp. 597–604 (2005). https://aclanthology.org/P05-1074
3. Berro, A., Fard, M.A.Y.Z., et al.: An extensible and reusable pipeline for automated utterance paraphrases. In: PVLDB (2021)
4. Brown, T.B., et al.: Language models are few-shot learners. In: NeurIPS (2020)
5. Bui, T.C., Le, V.D., To, H.T., Cha, S.K.: Generative pre-training for paraphrase generation by representing and predicting spans in exemplars. In: 2021 IEEE International Conference on Big Data and Smart Computing (BigComp), pp. 83–90. IEEE (2021)
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