Event Causality Identification

Event Causality Identification is a key task in natural language processing that aims to accurately identify which events are causes and which are effects by analyzing the causal relationships between events in the text. The goal of this task is to enhance the machine's understanding of the content of the text, thereby playing a significant role in applications such as information extraction, sentiment analysis, and question-answering systems, improving the intelligence level and decision support capabilities of these systems.