Cause-Effect Relation Classification

Cause-Effect Relation Classification is a sub-task in natural language processing that focuses on identifying and classifying causal relationships between entity pairs in text. This task aims to automatically determine whether two events have a causal connection and further predict the direction of causality by analyzing sentence structure and semantics. This technology has significant application value in information extraction, knowledge graph construction, text understanding, and other fields, enhancing the system's ability to parse complex textual content.