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Multi-Source Domain Adaptation with Mixture of Experts.

, , and . EMNLP, page 4694-4703. Association for Computational Linguistics, (2018)

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Adversarial Domain Adaptation for Duplicate Question Detection., , , , and . EMNLP, page 1056-1063. Association for Computational Linguistics, (2018)Towards Debiasing Fact Verification Models., , , , , and . EMNLP/IJCNLP (1), page 3417-3423. Association for Computational Linguistics, (2019)Multi-Source Domain Adaptation with Mixture of Experts., , and . EMNLP, page 4694-4703. Association for Computational Linguistics, (2018)Robust Zero-Shot Cross-Domain Slot Filling with Example Values., , , and . ACL (1), page 5484-5490. Association for Computational Linguistics, (2019)Automatic Fact-Guided Sentence Modification., , and . AAAI, page 8791-8798. AAAI Press, (2020)The Limitations of Stylometry for Detecting Machine-Generated Fake News., , , and . Comput. Linguistics, 46 (2): 499-510 (2020)Nutri-bullets Hybrid: Consensual Multi-document Summarization., , , and . NAACL-HLT, page 5213-5222. Association for Computational Linguistics, (2021)Capturing Greater Context for Question Generation., , and . AAAI, page 9065-9072. AAAI Press, (2020)Nutri-bullets: Summarizing Health Studies by Composing Segments., , , and . AAAI, page 13780-13788. AAAI Press, (2021)Contrastive Text Generation.. Massachusetts Institute of Technology, USA, (2021)