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Do Multi-Hop Question Answering Systems Know How to Answer the Single-Hop Sub-Questions? (2021.eacl-main)

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Challenge: Existing models fail to answer a large portion of sub-questions . Existing systems have achieved super-human performance .
Approach: They propose to use a neural decomposition model to generate sub-questions for a multi-hop question and extract the corresponding sub-answers.
Outcome: The proposed model is based on a hotpotQA dataset with a multi-hop question and sub-answers.

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