Clarification question generation diversity and specificity enhancement based on question keyword prediction
Author:
Funder
National Natural Science Foundation of China
Yunnan Fundamental Research Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05316-1.pdf
Reference42 articles.
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3. Ma H, Wang J, Lin H, Xu B (2022) Graph augmented sequence-to-sequence model for neural question generation. Appl Intell 53(11):14628–14644
4. Chen Y, Wu L, Zaki M J (2023) Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks. IEEE Trans Neural Netw Learn Syst pp 1–12
5. Jia X, Zhou W, Sun X, Wu Y (2021) EQG-RACE: examination-type question generation. In: Proceedings of the AAAI Conf Artif Intell pp 13143–13151
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