On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation (2020.acl-main)
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| Challenge: | Neural machine translation suffers from exposure bias, and alternative approaches to mitigate this are under debate. |
| Approach: | They propose to reduce exposure bias by using minimum risk training to mitigate hallucinations . they find that exposure bias is more problematic under domain shift . |
| Outcome: | The proposed methods can reduce exposure bias even on in-domain test sets. |
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