Qiaoqiao She

Neural Knowledge Bank for Pretrained Transformers

2022 · arXiv (Cornell University)

The ability of pretrained Transformers to remember factual knowledge is essential but still limited for existing models. Inspired by existing work that regards Feed-Forward Networks (FFNs) in Transformers as key-value memories, we design a Neural …

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

2018

Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang. Proceedings of the Workshop on Machine Reading for Question …

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking

2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

In various natural language processing tasks, passage retrieval and passage re-ranking are two key procedures in finding and ranking relevant information. Since both the two procedures contribute to the final performance, it is important to …