基于知识引导提示的因果感知概念提取（英文版）

英文标题：Causality-aware Concept Extraction based on Knowledge-guided Prompting中文摘要：本文提出一种基于结构性因果模型 (SCM) 的知识引导提示，以减轻 PLM 提取过程中的概念偏见，并在多语言知识图谱数据集上展示了该提示的有效性。英文摘要：Concepts benefit natural language understanding but are far from complete inexisting knowledge graphs (KGs). Recently, pre-trained language models (PLMs)have been widely used in text-based concept extraction (CE). However, PLMs tendto mine the co-occurrence associations from massive corpus as pre-trainedknowledge rather than the real causal