Improving Question Answering over Knowledge Graphs Using Graph Summarization-Reference-Cited by-同舟云学术

Improving Question Answering over Knowledge Graphs Using Graph Summarization

Published:2021 Issue: Volume: Page:489-500
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Li Sirui,Wong Kok Wai,Fung Chun Che,Zhu Dengya

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-92273-3_40

Reference25 articles.

1. Aghaebrahimian, A.: Hybrid deep open-domain question answering. In: Proceedings of the 8th Language and Technology Conference (LTC) (2017)

2. Arora, S.: A survey on graph neural networks for knowledge graph completion. arXiv preprint arXiv:2007.12374 (2020)

3. Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: NIPS, pp. 1–9 (2013)

4. De Cao, N., Aziz, W., Titov, I.: Question answering by reasoning across documents with graph convolutional networks. arXiv preprint arXiv:1808.09920 (2018)

5. Deng, L., Liu, Y.: Deep Learning in Natural Language Processing. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-5209-5

Cited by 4 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. A Comprehensive Survey on Graph Summarization With Graph Neural Networks;IEEE Transactions on Artificial Intelligence;2024-08

2. Enhancing Question Answering through Effective Candidate Answer Selection and Mitigation of Incomplete Knowledge Graphs and over-smoothing in Graph Convolutional Networks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. A Study on Various Approaches Towards Non-Factoid Question Answering Systems;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04

4. Skeletons on the Stairs: Are They Deceptive?;Communications in Computer and Information Science;2021