Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels - researchr publication authors

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Harris Chan, Jamie Kiros, William Chan. Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. In Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. pages 4208-4220, Association for Computational Linguistics, 2020. [doi]

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