Xian-Hua Peng

Parameter-Efficient Adaptation of Modern Pretrained Encoders for Low-Resource Entity-Level Financial Sentiment Classification

Financial news may express different sentiments towards the entities it mentions, while labelled examples for entity-level classification are often limited. This study compares the adaptation of three pretrained encoders to this task on FinEntity: FinBERT, a model based on Bidirectional Encoder Representations from Tra...