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Secoco: Self-Correcting Encoding for Neural Machine Translation., , , , , and . EMNLP (Findings), page 4639-4644. Association for Computational Linguistics, (2021)Topic Analysis Using a Finite Mixture Model., and . EMNLP, page 35-44. Association for Computational Linguistics, (2000)A Neural-Symbolic Approach to Natural Language Understanding., , , and . EMNLP (Findings), page 2159-2172. Association for Computational Linguistics, (2022)Memory-enhanced Decoder for Neural Machine Translation., , , and . EMNLP, page 278-286. The Association for Computational Linguistics, (2016)Pseudo-Relevance Feedback with Dense Retrievers in Pyserini., , , , and . ADCS, page 1:1-1:6. ACM, (2022)DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image., , , , , , , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 206-216. Springer, (2021)Maritime Broadband Communications: Applications, Challenges and an Offshore 5G-virtual MIMO Paradigm., , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 1286-1291. IEEE, (2020)Document Classification Using a Finite Mixture Model., and . ACL, page 39-47. Morgan Kaufmann Publishers / ACL, (1997)A Sequence-to-Sequence Approach to Dialogue State Tracking., , and . ACL/IJCNLP (1), page 1714-1725. Association for Computational Linguistics, (2021)AIoT Platform Design Based on Front and Rear End Separation Architecture for Smart Agricultural., , , , and . APIT, page 208-214. ACM, (2022)