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Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 656-664. JMLR.org, (2014)LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better., , , , , and . ACL (1), page 1426-1436. Association for Computational Linguistics, (2018)Reducing Sentiment Bias in Language Models via Counterfactual Evaluation., , , , , , , , and . CoRR, (2019)On the Cross-lingual Transferability of Monolingual Representations, , and . (2019)ACL 2020.A Mutual Information Maximization Perspective of Language Representation Learning., , , , , and . CoRR, (2019)Variational Smoothing in Recurrent Neural Network Language Models., , , , and . ICLR (Poster), OpenReview.net, (2019)Extractive Summarization by Maximizing Semantic Volume., , and . EMNLP, page 1961-1966. The Association for Computational Linguistics, (2015)Modelling Latent Skills for Multitask Language Generation., and . CoRR, (2020)Jointly learning sentence embeddings and syntax with unsupervised Tree-LSTMs., , and . Nat. Lang. Eng., 25 (4): 433-449 (2019)Dynamic Language Models for Streaming Text., , , , and . Trans. Assoc. Comput. Linguistics, (2014)