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Training with Additional Semantic Constraints for Enhancing Neural Machine Translation.

, , , and . PRICAI (1), volume 11670 of Lecture Notes in Computer Science, page 300-313. Springer, (2019)

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RGCN: Recurrent Graph Convolutional Networks for Target-Dependent Sentiment Analysis., , , , and . KSEM (1), volume 11775 of Lecture Notes in Computer Science, page 667-675. Springer, (2019)Training with Additional Semantic Constraints for Enhancing Neural Machine Translation., , , and . PRICAI (1), volume 11670 of Lecture Notes in Computer Science, page 300-313. Springer, (2019)Exploring the Advantages of Corpus in Neural Machine Translation of Agglutinative Language., , , and . ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 326-336. Springer, (2019)An Optimized Regularization Method to Enhance Low-Resource MT., , , and . PDCAT, volume 931 of Communications in Computer and Information Science, page 285-295. Springer, (2018)Noise-Based Adversarial Training for Enhancing Agglutinative Neural Machine Translation., , , and . PRICAI (1), volume 11670 of Lecture Notes in Computer Science, page 392-396. Springer, (2019)Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise., , , and . ACL (2), page 123-129. Association for Computational Linguistics, (2019)Adversarial Training for Unknown Word Problems in Neural Machine Translation., , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (1): 17:1-17:12 (2020)