Shengda Fan

According to our database1, Shengda Fan authored at least 4 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022
Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Key Mention Pairs Guided Document-Level Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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