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Focused Attention Improves Document-Grounded Generation., , , , и . NAACL-HLT, стр. 4274-4287. Association for Computational Linguistics, (2021)Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation., , и . WAT@COLING, стр. 75-83. The COLING 2016 Organizing Committee, (2016)Incorporating Source-Side Phrase Structures into Neural Machine Translation., , и . Computational Linguistics, 45 (2): 267-292 (2019)Neural Machine Translation with Source-Side Latent Graph Parsing., и . EMNLP, стр. 125-135. Association for Computational Linguistics, (2017)Domain Adaptation for Neural Networks by Parameter Augmentation., , и . Rep4NLP@ACL, стр. 249-257. Association for Computational Linguistics, (2016)Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization., и . CVSC, стр. 1-11. Association for Computational Linguistics, (2015)Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT., , , , , , и . CoRR, (2020)A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks., , , и . EMNLP, стр. 1923-1933. Association for Computational Linguistics, (2017)Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures., , , и . EMNLP, стр. 1544-1555. ACL, (2014)Simple Customization of Recursive Neural Networks for Semantic Relation Classification., , , и . EMNLP, стр. 1372-1376. ACL, (2013)