Coarse and Fine Granularity Graph Reasoning for Interpretable Multi-Hop Question Answering

Coarse and Fine Granularity Graph Reasoning for Interpretable Multi-Hop Question Answering

Interpretable multi-hop question answering requires step-by-step reasoning over multiple documents and finding scattered supporting facts to answer the question. Prior works have proposed the entity graph method to aggregate the entity information to improve the ability of reasoning. However, the en...

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Bibliographic Details
Main Authors: Min Zhang, Feng Li, Yang Wang, Zequn Zhang, Yanhai Zhou, Xiaoyu Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Question answering
multi-hop questions
graph network
interpretable model
Online Access:https://ieeexplore.ieee.org/document/9037288/

Internet

https://ieeexplore.ieee.org/document/9037288/

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