Implicit Discourse Relation Classification

In the field of natural language processing, the task of implicit discourse relation classification aims to analyze text and identify and classify the implicit relationships between two adjacent or non-adjacent discourse units, which are not expressed through explicit connectives such as "but" or "however." The goal of this task is to accurately recognize and categorize these implicit relationships by analyzing context and semantics, thereby enhancing the depth and accuracy of text understanding. Implicit discourse relation classification is crucial for improving the performance of applications like machine reading comprehension, sentiment analysis, and text summarization.