Weihua Wang

Computational argumentation has received increasing attention in recent years. However, existing debate datasets neglect some important labels for argument mining, generation, and evaluation. Meanwhile, the lack of comprehensively annotated Chinese oral debate datasets hinders progress in this fi...

Entity alignment (EA) aims to identify entities referring to the same real-world object across different knowledge graphs (KGs). Recent approaches based on large language models (LLMs) typically obtain entity embeddings through knowledge representation learning and use embedding similarity to ide...

Continual Named Entity Recognition (CNER) aims to enable models to incrementally learn emerging entity types from new data while avoiding forgetting previously learned ones. However, existing methods tend to ignore class imbalance problem that resulted in consistently performance degradation when...