用图结构分析议论文，让AI帮你看清论证逻辑和漏洞。
IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection
- 将论点、证据、支持/反驳关系构建成可交互的论证图。
- 自动识别关系并生成可解释的评分，量化文章连贯性。
- 适合写作教学与批判性思维训练，兼顾易用性与深度分析。
我们提出IntelliProof，一个基于大语言模型的互动系统，用于分析议论文。IntelliProof将文章结构化为论证图：论点作为节点，证据作为节点属性，边表示支持或反驳关系。不同于现有自动作文评分系统，IntelliProof重视用户体验：每个关系由大语言模型初始分类并打分，随后可视化以增强理解。系统提供分类依据，并生成文章连贯性的量化指标。它支持快速探索论证质量，同时保持人工监督。此外，IntelliProof还提供一组自然语言工具，帮助用户更好理解议论文及其对应的图结构，弥合论证文章的结构语义与用户理解之间的差距。
原文摘要 · Abstract (English)
We present IntelliProof, an interactive system for analyzing argumentative essays through LLMs. IntelliProof structures an essay as an argumentation graph, where claims are represented as nodes, supporting evidence is attached as node properties, and edges encode supporting or attacking relations. Unlike existing automated essay scoring systems, IntelliProof emphasizes the user experience: each relation is initially classified and scored by an LLM, then visualized for enhanced understanding. The system provides justifications for classifications and produces quantitative measures for essay coherence. It enables rapid exploration of argumentative quality while retaining human oversight. In addition, IntelliProof provides a set of tools for a better understanding of an argumentative essay and its corresponding graph in natural language, bridging the gap between the structural semantics of argumentative essays and the user's understanding of a given text.
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