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Chengxiang Tan

2 accepted papers

2025

Joint Learning Event-Specific Probe and Argument Library with Differential Optimization for Document-Level Multi-Event Extraction

NAACL 2025findings

Document-level multi-event extraction aims to identify a list of event types and corresponding arguments from the document. However, most of the current methods neglect the fine-grained difference among events in multi-event documents, which leads to event confusion and missing. This is also one of…

Cited by 0SourcePDFScholar
2024

Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition

ACL 2024findings

Continual few-shot relation extraction (CFRE) aims to continually learn new relations with limited samples. However, current methods neglect the instability of embeddings in the process of different task training, which leads to serious catastrophic forgetting. In this paper, we propose the concept…

Cited by 0SourcePDFScholar