Papers by Yongming Fan

1 papers
STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion (2023.emnlp-main)

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Challenge: Commercial news provides rich semantics and timely information for automated financial risk detection.
Approach: They propose a semi-supervised Semantic-Topological Iteration Network, STINMatch, along with a news-enterprise knowledge graph to endorse the risk detection enhancement.
Outcome: The proposed model outperforms existing models in terms of generalization and semantics and annotation.

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