Papers by Sungho Ryu

1 papers
Continuous Model Improvement for Language Understanding with Machine Translation (2021.naacl-industry)

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Challenge: a simple translation-test approach would fail the latency requirements of a live environment.
Approach: They show that annotating unlabeled utterances offline can improve performance . they demonstrate that an extrinsic evaluation can improve the performance if manual data is available .
Outcome: The proposed method improves performance in an extrinsic evaluation setting with real-world commercial dialog system in german.

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