Papers by Yu-Shiang Huang
A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports (2023.acl-long)
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| Challenge: | Recent advances in natural language processing (NLP) have included attempts to efficiently and effectively comprehend lengthy financial documents. |
| Approach: | They propose a signal-highlighting task that analyzes relationships between financial reports . they also create and publicly release a human-annotated dataset for the task . |
| Outcome: | The proposed pipeline is based on a human-annotated dataset and validates its effectiveness. |
NASH: Numerically Aware Scoring Heuristic for Robust Semantic Similarity (2026.findings-acl)
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| Challenge: | Numerical precision is critical in financial NLP, yet embedding-based semantic similarity metrics exhibit numerical blindness. |
| Approach: | They propose a model-agnostic metric that decouples numerical verification from textual semantic evaluation. |
| Outcome: | The proposed metric improves numerical sensitivity while maintaining general semantic performance. |
Financial Risk Relation Identification through Dual-view Adaptation (2025.emnlp-main)
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| Challenge: | Identifying inter-firm risk relations is crucial for applications like portfolio management and investment strategy. |
| Approach: | They propose a method for extracting inter-firm risk relations using Form 10-K filings . their method captures implicit and abstract risk connections through unsupervised fine-tuning . |
| Outcome: | The proposed method outperforms baselines across multiple evaluation settings. |