KnowReQA: A Knowledge-aware Retrieval Question Answering System

Chuanrui Wang, Jun Bai, Xiaofeng Zhang, Cen Yan, Yuanxin Ouyang, Wenge Rong, Zhang Xiong

Abstract: Retrieval question answering (ReQA) is an essential mechanism to automatically satisfy the users’ information needs and overcome the problem of information overload. As a promising solution to achieve fast retrieval from large-scale candidate answers, dual-encoder framework has been widely studied to improve its representation quality for text in the recent years. Inspired by that humans usually answer the question using their background knowledge, in this work, we explore the way to incorporate knowledge entities into the retrieval model to build high-quality text representations and propose novel knowledge-aware text encoding and knowledge-aware text matching modules to facilitate the fusion between text and knowledge. The promising experimental results on various benchmarks prove the potential of the proposed approach.