Papers by Yuankai Ma

1 papers
Robust Learning for Multi-party Addressee Recognition with Discrete Addressee Codebook (2023.acl-short)

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Challenge: Existing addressee recognition models suffer from the issue of robustness when applied in real-world scenes.
Approach: They propose a method which discretes addressees into a character codebook and makes it robust in a noisy environment.
Outcome: The proposed method represents open set addressees and is robust even in noisy environments.

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