Generating Abstract Arguments: A Natural Language Approach
Generating Abstract Arguments: A Natural Language Approach
复制标题
生成抽象参数：自然语言方法
DOI：
10.3233/978-1-61499-111-3-454
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
S. Villata
中科院分区：
文献类型：
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作者：
Elena Cabrio;S. Villata
目前已经提出了许多议论工具来支持用户进行在线社交讨论。然而，这些工具的主要缺点是它们不能处理从用户的自然语言讨论中自动生成论点。在本文中，我们建议使用计算语言学中的一种技术，即语篇蕴涵，从对话中自动生成抽象论点。然后，抽象的论点以及它们的关系被构建在议论文图中，以作为一个整体来评价对话。拟议方法的成功标准是，它能够反映用户之间对话的动态，从而能够找到足够自然的论点的使用，以便真正采用。
Many argumentation tools have been proposed nowadays to support the users in on-line social discussions. However, the main drawback of these tools is that they do not cope with the automatic generation of the arguments from the natural language discussions of the users. In this paper, we propose to use a technique from computational linguistics, namely textual entailment, to generate in an automatic way the abstract arguments from the dialogues. The abstract arguments as well as their relationships are then structured in an argumentation graph to evaluate the dialogue as a whole. The success criteria of the proposed approach is that it is able to represent the dynamics of the dialogues among users allowing to find the use of argumentation natural enough to be really adopted.