6 citations · 13 across the 4 of their papers we have counts for
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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…
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…
EQG-RACE: Examination-Type Question Generation
Xin Jia, Wenjie Zhou, Xu Sun +1
Question Generation (QG) is an essential component of the automatic intelligent tutoring systems, which aims to generate high-quality questions for facilitating the reading practic…