no code implementations • EMNLP 2020 • Hongzhi Zhang, Yingyao Wang, Sirui Wang, Xuezhi Cao, Fuzheng Zhang, Zhongyuan Wang
Verifying fact on semi-structured evidence like tables requires the ability to encode structural information and perform symbolic reasoning.
no code implementations • 22 Aug 2023 • Yingyao Wang, Yongwei Zhou, Chaoqun Duan, Junwei Bao, Tiejun Zhao
To alleviate these challenges, we propose a self-iterative framework for multi-hop program generation (HopPG) over heterogeneous knowledge, which leverages the previous execution results to retrieve supporting facts and generate subsequent programs hop by hop.
1 code implementation • 19 Oct 2022 • Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao
To preserve the advantage and eliminate the disadvantage of different granularity evidence, we propose MuGER$^2$, a Multi-Granularity Evidence Retrieval and Reasoning approach.
no code implementations • COLING 2020 • Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, BoWen Zhou, Tiejun Zhao
This paper aims to enhance the few-shot relation classification especially for sentences that jointly describe multiple relations.