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Generating Diverse Back-Translations via Constraint Random Decoding., , , , , и . CCMT, том 1464 из Communications in Computer and Information Science, стр. 92-104. Springer, (2021)A Document-Level Machine Translation Quality Estimation Model Based on Centering Theory., , , , и . CCMT, том 1464 из Communications in Computer and Information Science, стр. 1-15. Springer, (2021)A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information., , , , и . COLING, стр. 4385-4395. International Committee on Computational Linguistics, (2020)An Adaptive Prompt Generation Framework for Task-oriented Dialogue System., , , , , и . EMNLP (Findings), стр. 1078-1089. Association for Computational Linguistics, (2023)Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification., , , , , , , и . WWW (Companion Volume), стр. 774-777. ACM, (2024)Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework., , , , и . ICASSP, стр. 8332-8336. IEEE, (2022)A comprehensive survey of federated transfer learning: challenges, methods and applications., , , , и . Frontiers Comput. Sci., 18 (6): 186356 (декабря 2024)An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences., , , , , , , и . Comput. Intell. Neurosci., (2020)SynXLM-R: Syntax-Enhanced XLM-R in Translation Quality Estimation., , и . NLPCC (2), том 13029 из Lecture Notes in Computer Science, стр. 27-40. Springer, (2021)Improving biomedical named entity recognition by dynamic caching inter-sentence information., , , , , , , и . Bioinform., 38 (16): 3976-3983 (2022)