Leveraging Structured Information from a Passage to Generate Questions-Reference-Cited by-同舟云学术

Leveraging Structured Information from a Passage to Generate Questions

Published:2023-06 Issue:3 Volume:28 Page:464-474
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Xu Jian¹,Sun Yu²,Gan Jianhou³,Zhou Mingtao²,Wu Di¹

Affiliation:

1. Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University,Kunming,China,650500

2. School of Information Science and Technology, Yunnan Normal University,Kunming,China,650500

3. Yunnan Key Laboratory of Smart Education, Yunnan Normal University,Kunming,China,650500

Funder

National Natural Science Foundation of China

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Link

http://xplorestaging.ieee.org/ielx7/5971803/9983974/09983985.pdf?arnumber=9983985

Reference36 articles.

1. Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

2. Simplifying Paragraph-Level Question Generation via Transformer Language Models

3. Answer-focused and Position-aware Neural Question Generation

4. Neural Question Generation based on Seq2Seq

5. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments;banerjee;Proc Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization,2005

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Syntax and Shallow Semantic Analysis for Vietnamese Question Generation;KSII Transactions on Internet and Information Systems;2023-10-31