Exploiting Reasoning Chains for Multi-hop Science Question Answering

• Main Authors: XU, Weiwen, DENG, Yang, ZHANG, Huihui, CAI, Deng, LAM, Wai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Ground truth; Multi-hops; Question Answering; Reasoning process; Semantic graphs; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9146; https://ink.library.smu.edu.sg/context/sis_research/article/10149/viewcontent/2109.02905v1.pdf
• Institution: Singapore Management University

We propose a novel Chain Guided Retriever reader (CGR) framework to model the reasoning chain for multi-hop Science Question Answering. Our framework is capable of performing explainable reasoning without the need of any corpus-specific annotations, such as the ground-truth reasoning chain, or human...