"庞亮等提出的HAS-QA：开放领域问题回答的层次化答案模型"

The HAS-QA Hierarchical Answer Spans Model for Open-domain Question Answering, developed by Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, and Xueqi Cheng, is a groundbreaking approach to addressing the challenges presented by open-domain question answering. Unlike traditional methods that rely on single answer spans, the HAS-QA model employs a hierarchical structure, allowing for the independent identification of start and end points of the answer spans. This innovation is particularly significant in the context of search engines and knowledge bases, where question diversity is high and accurate extraction of information is crucial. By leveraging machine learning techniques, this model sets a new standard for the field and offers a promising solution for advancing the capabilities of open-domain question answering.