Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss-Reference-Cited by-同舟云学术

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Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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Author:

Liu Cao,Liu Kang,He Shizhu,Nie Zaiqing,Zhao Jun

Publisher

Association for Computational Linguistics

Cited by 6 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. Attention-based RNN with question-aware loss and multi-level copying mechanism for natural answer generation;Complex & Intelligent Systems;2024-07-09

2. A Unified Framework for Contextual and Factoid Question Generation;IEEE Transactions on Knowledge and Data Engineering;2024-01

3. Generating Complex Questions from Knowledge Graphs with Query Graphs;2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN);2022-08-23

4. Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

5. Generating Factoid Questions with Question Type Enhanced Representation and Attention-based Copy Mechanism;ACM Transactions on Asian and Low-Resource Language Information Processing;2022-01-28

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