论文标题
使用论证语义和自然语言参数图表网络自动辩论评估
Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks
论文作者
论文摘要
缺乏有关专业论证和完整论证辩论的注释数据导致过度简化和无法接近更复杂的自然语言处理任务。自动辩论评估就是这种情况。在本文中，我们提出了一种原始的混合方法来自动评估论证辩论。为此，我们将诸如论证框架和语义等论证理论的概念与基于变压器的体系结构和神经图网络相结合。此外，我们获得了令人鼓舞的结果，这些结果基于自然语言参数的自动分析的未开发的新实例。
The lack of annotated data on professional argumentation and complete argumentative debates has led to the oversimplification and the inability of approaching more complex natural language processing tasks. Such is the case of the automatic debate evaluation. In this paper, we propose an original hybrid method to automatically evaluate argumentative debates. For that purpose, we combine concepts from argumentation theory such as argumentation frameworks and semantics, with Transformer-based architectures and neural graph networks. Furthermore, we obtain promising results that lay the basis on an unexplored new instance of the automatic analysis of natural language arguments.
