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Mach. Learn. Res., 2020, 21(140): 1-67.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_3_1_16_2","volume-title":"Attention is all you need[J]. Advances in neural information processing systems","author":"Vaswani A","year":"2017","unstructured":"Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[J]. Advances in neural information processing systems, 2017, 30."},{"key":"e_1_3_3_1_17_2","volume-title":"Dual learning for machine translation[J]. Advances in neural information processing systems","author":"He D","year":"2016","unstructured":"He D, Xia Y, Qin T, et al. Dual learning for machine translation[J]. Advances in neural information processing systems, 2016, 29."},{"key":"e_1_3_3_1_18_2","volume-title":"PMLR","author":"Xia Y","unstructured":"Xia Y, Qin T, Chen W, et al. Dual supervised learning[C]\/\/International conference on machine learning. 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Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning[C]\/\/Proceedings of the 29th International Conference on Computational Linguistics. 2022: 5419-5431."},{"key":"e_1_3_3_1_21_2","first-page":"2119","article-title":"Logician and orator: Learning from the duality between language and knowledge in open domain[C]\/\/Proceedings of the 2018 Conference on Empirical Methods","volume":"2018","author":"Sun M","unstructured":"Sun M, Li X, Li P. Logician and orator: Learning from the duality between language and knowledge in open domain[C]\/\/Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018: 2119-2130.","journal-title":"Natural Language Processing."},{"key":"e_1_3_3_1_22_2","volume-title":"Policy gradient methods for reinforcement learning with function approximation[J]. Advances in neural information processing systems","author":"Sutton R S","year":"1999","unstructured":"Sutton R S, McAllester D, Singh S, et al. Policy gradient methods for reinforcement learning with function approximation[J]. Advances in neural information processing systems, 1999, 12."},{"key":"e_1_3_3_1_23_2","volume-title":"Gurevych I. Sentence-bert: Sentence embeddings using siamese bert-networks[J]. arXiv preprint arXiv:1908.10084","author":"Reimers N","year":"2019","unstructured":"Reimers N, Gurevych I. Sentence-bert: Sentence embeddings using siamese bert-networks[J]. arXiv preprint arXiv:1908.10084, 2019."},{"key":"e_1_3_3_1_24_2","volume-title":"NLPCC","author":"Duan N.","year":"2016","unstructured":"Duan N. Overview of the nlpcc-iccpol 2016 shared task: open domain chinese question answering[C]\/\/Natural Language Understanding and Intelligent Applications: 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2\u20136, 2016, Proceedings 24. Springer International Publishing, 2016: 942-948."},{"key":"e_1_3_3_1_25_2","volume-title":"Large-scale simple question answering with memory networks[J]. arXiv preprint arXiv:1506.02075","author":"Bordes A","year":"2015","unstructured":"Bordes A, Usunier N, Chopra S, et al. Large-scale simple question answering with memory networks[J]. arXiv preprint arXiv:1506.02075, 2015."},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Dong L Wei F Zhou M et al. 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