Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates
Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates
复制标题
利用复杂的论证互动重构大规模辩论的论证结构
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
C. Reed
中科院分区：
文献类型：
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作者：
John Lawrence;C. Reed
在本文中，我们考虑了通过考虑大规模论点网络及其组成命题之间的复杂相互作用可以获得的见解。我们研究了分析这些网络属性的指标，并使用2016年美国总统辩论的论点语料库来说明这些指标。我们提出了直接从自然语言文本中确定这些特征的技术，并表明这些自动识别的特征与文本中包含的论证结构之间存在很强的相关性。最后，我们将这些指标与论证挖掘技术结合起来，并展示了如何通过考虑它们发生的更大背景来改进论证关系的识别。
In this paper we consider the insights that can be gained by considering large scale argument networks and the complex interactions between their constituent propositions. We investigate metrics for analysing properties of these networks, illustrating these using a corpus of arguments taken from the 2016 US Presidential Debates. We present techniques for determining these features directly from natural language text and show that there is a strong correlation between these automatically identified features and the argumentative structure contained within the text. Finally, we combine these metrics with argument mining techniques and show how the identification of argumentative relations can be improved by considering the larger context in which they occur.
评估参数挖掘性能的 CASS 技术
DOI：
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发表时间：
2016
期刊：
Proceedings of the Annual Meeting of the Association for Computational Linguistics
影响因子：
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作者：
Duthie R.
通讯作者：
Duthie R.