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Linyi Yang

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
Deep Neural Approach for Financial Analysis
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
Leveraging BERT to Improve the FEARS Index for Stock Forecasting
Explainable Text-Driven Neural Network for Stock Prediction (*Best Paper Nominated)
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction

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