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Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities., , , , and . CoRR, (2018)Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games., , , and . CoRR, (2023)Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning., , , and . HLT-NAACL, page 171-181. The Association for Computational Linguistics, (2016)Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use., , and . Trans. Assoc. Comput. Linguistics, (2019)An Introduction to Lifelong Supervised Learning., , , , , , and . CoRR, (2022)Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi., , , , and . CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 861-877. PMLR, (2023)Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 22536-22561. PMLR, (2022)Learning End-to-End Goal-Oriented Dialog with Multiple Answers., , , and . EMNLP, page 3834-3843. Association for Computational Linguistics, (2018)NE-Table: A Neural key-value table for Named Entities., , , , , and . RANLP, page 980-993. INCOMA Ltd., (2019)Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning., , , and . CoRR, (2015)