Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level

Author:

Lukovnikov Denis1,Fischer Asja1,Lehmann Jens1,Auer Sören1

Affiliation:

1. University of Bonn, Bonn, Germany

Funder

Horizon 2020 Framework Program

Publisher

International World Wide Web Conferences Steering Committee

Cited by 179 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. 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

2. A Multi-Strategy QA Method Combining with Embedded User Feedback;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

3. New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

4. Jointly Canonicalizing and Linking Open Knowledge Base via Unified Embedding Learning;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph;Proceedings of the ACM Web Conference 2024;2024-05-13

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