Papers by Harris Chan

1 papers
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels (2020.findings-emnlp)

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Challenge: MGLM is a generative joint distribution model over channels.
Approach: They propose a multichannel generative joint distribution model over channels that marginalizes over all possible factorizations within and across all channels.
Outcome: The proposed model outperforms traditional bilingual discriminative models.

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