CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering

08/12/2020

CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering

Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He

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Abstract: We introduce CHIME, a cross-passage hierarchical memory network for question answering (QA) via text generation. It extends XLNet introducing an auxiliary memory module consisting of two components: the context memory collecting cross-passage evidences, and the answer memory working as a buffer continually refining the generated answers. Empirically, we show the efficacy of the proposed architecture in the multi-passage generative QA, outperforming the state-of-the-art baselines with better syntactically well-formed answers and increased precision in addressing the questions of the AmazonQA review dataset. An additional qualitative analysis revealed the interpretability introduced by the memory module.

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