2025
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction
EMNLP 2025
Developing a general-purpose system that can extract events with massive types is a long-standing target in Event Extraction (EE). In doing so, the basic challenge comes from the absence of an efficient and effective annotation framework to construct the corresponding datasets. In this paper, we pro