Multi-hop Question Answering via Reasoning Chains

Chen Jifan
Chen Jifan
Lin Shih-ting
Lin Shih-ting
Cited by: 0|Bibtex|Views11
Other Links: arxiv.org

Abstract:

Multi-hop question answering requires models to gather information from different parts of a text to answer a question. Most current approaches learn to address this task in an end-to-end way with neural networks, without maintaining an explicit representation of the reasoning process. We propose a method to extract a discrete reasoning...More

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