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Information Extraction from Documents: Question Answering vs Token Classification in real-world setups
Our research showed that when dealing with clean and relatively short entities, it is still best to use token classification-based approach, while the QA approach could be a good alternative for noisy environment or long entities use-cases.
Reducing Hallucinations in Neural Machine Translation with Feature Attribution
We present a case study focusing on model understanding and regularisation to reduce hallucinations in NMT.
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