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ML and Language (#1)

Yiyuan Li, Rishabh Joshi

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Abstract:

Language research is tightly connected with and widely benefits from the advance of learning approaches, namely language modeling, few-shot learning, meta-learning approaches and representation learning. ‘ML and Language’ is the place to exchange ideas and opinions for the frontier and future of those directions, and raise attention to the challenges. We want to bring researchers together to share ideas, foster collaborations and discuss their problems specifically in ML applied to language. Come and also join us in the session and https://bit.ly/3esHwVk.

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