Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. (arXiv:2206.08486v1 [cs.CL])

Effective multi-hop question answering (QA) requires reasoning over multiple
scattered paragraphs and providing explanations for answers. Most existing
approaches cannot provide an interpretable reasoning process to illustrate how
these models arrive at an answer. In this paper, we propose a Question
Decomposition method based on Abstract Meaning Representation (QDAMR) for
multi-hop QA, which achieves interpretable reasoning by decomposing a multi-hop
question into simpler sub-questions and answering them in order. Since
annotating the decomposition is expensive, we first delegate the complexity …

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