no code implementations • 19 Oct 2023 • Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
Question generation is a widely used data augmentation approach with extensive applications, and extracting qualified candidate answers from context passages is a critical step for most question generation systems.
1 code implementation • 19 Oct 2023 • Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
Pre-trained Language Models are widely used in many important real-world applications.
1 code implementation • 24 May 2023 • Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
Cycle training uses two models which are inverses of each other: one that generates text from structured data, and one which generates the structured data from natural language text.
no code implementations • 8 Apr 2021 • Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka, Arjun Manoj Menon, Sai Ajay Modukuri, Nishanth Nakshatri, Xin Wei, Zhuoer Wang, James Caverlee, Sarah M. Rajtmajer, C. Lee Giles
In this paper, we investigate prediction of the reproducibility of SBS papers using machine learning methods based on a set of features.
1 code implementation • EMNLP 2020 • Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
We present a new benchmark dataset called PARADE for paraphrase identification that requires specialized domain knowledge.