3 citations · 7 across the 4 of their papers we have counts for
4 papers
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation
Zichen Wu, Xin Jia, Fanyi Qu +1
Today the pre-trained language models achieve great success for question generation (QG) task and significantly outperform traditional sequence-to-sequence approaches. However, the…
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
Fanyi Qu, Xin Jia, Yunfang Wu
Generating high quality question-answer pairs is a hard but meaningful task. Although previous works have achieved great results on answer-aware question generation, it is difficul…
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
Liang Zhao, Wei Li, Ruihan Bao +3
Trading volume movement prediction is the key in a variety of financial applications. Despite its importance, there is few research on this topic because of its requirement for com…
Enhancing Question Generation with Commonsense Knowledge
Xin Jia, Hao Wang, Dawei Yin +1
Question generation (QG) is to generate natural and grammatical questions that can be answered by a specific answer for a given context. Previous sequence-to-sequence models suffer…