Harvesting Paragraph-level Question-Answer Pairs from Wikipedia
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Association for Computational Linguistics
Cited by 39 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. De-Noising Tail Entity Selection in Automatic Question Generation with Fine-Tuned T5 Model;Lecture Notes in Networks and Systems;2024
2. Automatic Question Generation: A Comparative Analysis of Rule-Based and Neural Network-Based Models;Lecture Notes in Networks and Systems;2024
3. QGAE: an end-to-end answer-agnostic question generation model for generating question-answer pairs;JUSTC;2024
4. Fine-tuning pretrained transformer encoders for sequence-to-sequence learning;International Journal of Machine Learning and Cybernetics;2023-11-10
5. Enhancing Question Generation with Syntactic Details and Multi-Level Attention Mechanism;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10
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