Component Classification

Component Classification is a crucial subtask in the field of natural language processing, focusing on identifying and classifying argumentative components within documents, such as claims, evidence, and support relationships. The goal of this task is to automatically extract these components and construct an argumentation structure graph, thereby gaining a deeper understanding of the logical framework and persuasiveness of the text. This technology has significant application value in areas like legal document analysis, academic paper evaluation, and public opinion monitoring, significantly enhancing the efficiency and accuracy of information processing.