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Incorporating history and future into non-autoregressive machine translation.

, , and . Comput. Speech Lang., (2023)

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A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution., , , , and . CICLing (2), volume 8404 of Lecture Notes in Computer Science, page 53-61. Springer, (2014)A hierarchical lstm model with multiple features for sentiment analysis of sina weibo texts., , , , and . IALP, page 379-382. IEEE, (2017)The construction and practice of integration cultivation mechanism for innovative talents in CS discipline., , and . TURC, page 110-114. ACM, (2018)Improving Non-autoregressive Machine Translation with Soft-Masking., , and . NLPCC (1), volume 13028 of Lecture Notes in Computer Science, page 141-152. Springer, (2021)Named Entity Recognition Based on Bilingual Co-training., , , and . CLSW, volume 8229 of Lecture Notes in Computer Science, page 480-489. Springer, (2013)Coarse-to-Fine Document Ranking for Multi-Document Reading Comprehension with Answer-Completion., , and . IALP, page 407-412. IEEE, (2019)Incorporating target language semantic roles into a string-to-tree translation model., , , , and . Frontiers Inf. Technol. Electron. Eng., 18 (10): 1534-1542 (2017)A pragmatic model for new Chinese word extraction., , , and . NLPKE, page 1-8. IEEE, (2010)Knowledge-enriched joint-learning model for implicit emotion cause extraction., , , and . CAAI Trans. Intell. Technol., 8 (1): 118-128 (March 2023)Better Localness for Non-Autoregressive Transformer., , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (5): 125:1-125:11 (May 2023)