CLUE：无监督事件类型归纳与标注的对比学习框架

AI 摘要

该论文提出 CLUE 框架，用于无监督事件类型归纳、命名与标注。CLUE 通过对比学习联合建模谓词中心视角与语义视角，利用对比损失引导聚类，并借助 LLM 对代表性句子生成合成监督来命名和精炼事件类型。实验表明该方法能有效处理谓词多义性并降低人工标注成本。

正文节选

CLUE: A Contrastive Learning Framework for Unsupervised Event Type Induction and Annotation Abstract Event ontology is the foundational framework for defining events in a dataset. Event type induction generally involves domain experts who define guidelines for creating event types and their names based on the dataset’s domain and scope. However, this process is resource-intensive in terms of annotation costs and is prone to human biases. To alleviate the need for manual event ontology creation,

发布时间：2026-10-12 12:00

抓取时间：2026-10-12 12:06

来源机构：arXiv