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Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation.

, , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 560-569. Association for Computational Linguistics, (2021)

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Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer., , , , , and . TL4NLP, volume 203 of Proceedings of Machine Learning Research, page 88-102. PMLR, (2022)Counter-fitting Word Vectors to Linguistic Constraints., , , , , , , , and . HLT-NAACL, page 142-148. The Association for Computational Linguistics, (2016)Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems., , , , , and . EMNLP, page 1711-1721. The Association for Computational Linguistics, (2015)Policy committee for adaptation in multi-domain spoken dialogue systems., , , , , and . ASRU, page 806-812. IEEE, (2015)Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association., , , , , , , and . ALTA, Association for Computational Linguistics, (2023)On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems., , , , , , , and . ACL (1), The Association for Computer Linguistics, (2016)A Generative Model for Joint Natural Language Understanding and Generation., , , and . ACL, page 1795-1807. Association for Computational Linguistics, (2020)Counter-fitting Word Vectors to Linguistic Constraints, , , , , , , , and . HLT-NAACL, (2016)Multi-domain Neural Network Language Generation for Spoken Dialogue Systems., , , , , , and . HLT-NAACL, page 120-129. The Association for Computational Linguistics, (2016)Non-Autoregressive Text Generation with Pre-trained Language Models., , , , , , and . EACL, page 234-243. Association for Computational Linguistics, (2021)