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

Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He
2020 Proceedings of the 28th International Conference on Computational Linguistics   unpublished
We introduce CHIME, a cross-passage hierarchical memory network for question answering (QA) via text generation. It extends XLNet (Yang et al., 2019) introducing an auxiliary memory module consisting of two components: the context memory collecting cross-passage evidence, 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
more » ... e-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. This work is licensed under a Creative Commons Attribution 4.0 International Licence. Licence details: http: //
doi:10.18653/v1/2020.coling-main.229 fatcat:j3ratlc47ngzncjj73vifep5my