Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems

no code implementations • 17 Dec 2019 • Fengshi Jing, Qingpeng Zhang

We propose the Knowledge-enhanced Attentive Answer Selection (KAAS) model, which enhances the performance through (a) considering both the expertise and the authority of the answerer; (b) utilizing the human-labeled tags, the taxonomy of the tags, and the votes as the domain knowledge to infer the expertise of the answer; (c) using matrix decomposition of the social network (formed by following-relationship) to infer the authority of the answerer and incorporating such information in the process of evaluating the similarity between segments.

Answer Selection Community Question Answering