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Transfer Reward Learning for Policy Gradient-Based Text Generation., and . CoRR, (2019)I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews., , , , and . CoRR, (2021)Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models., and . ACL (2), page 1329-1339. Association for Computational Linguistics, (2023)Tick Parasitism Classification from Noisy Medical Records., , , and . KDH@IJCAI, volume 2429 of CEUR Workshop Proceedings, page 30-34. CEUR-WS.org, (2019)Learning to Evaluate Neural Language Models., and . PACLING, volume 1215 of Communications in Computer and Information Science, page 123-133. Springer, (2019)Dropping Networks for Transfer Learning.. CoRR, (2018)Analysing Dropout and Compounding Errors in Neural Language Models., and . CoRR, (2018)Deep Neural Compression Via Concurrent Pruning and Self-Distillation., , and . CoRR, (2021)NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity., , and . WASSA@EMNLP, page 175-179. Association for Computational Linguistics, (2017)Improved Vector Quantization For Dense Retrieval with Contrastive Distillation., and . SIGIR, page 2072-2076. ACM, (2023)