论辩对话系统中基于情感识别的偏好建模

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-01 DOI:10.1109/PERCOMW.2019.8730650

Niklas Rach, Klaus Weber, Annalena Aicher, F. Lingenfelser, E. André, W. Minker

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引用次数: 4

摘要

在这项工作中，我们提出了一种方法，通过使用加权双极论证图，以细粒度的方式对人类对特定主题的意见进行建模。此外，我们讨论了如何通过情感识别技术收集相关方面的所需评级，并讨论了基于最先进的议论性对话系统EVA的应用场景，其中可以应用所提出的技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Emotion Recognition Based Preference Modelling in Argumentative Dialogue Systems

Within this work, we present an approach to model the opinion of a human towards a specific topic in a fine-grained way by using weighted bipolar argumentation graphs. In addition, we discuss how the therefore required rating of related aspects can be collected by means of emotion recognition techniques and discuss an application scenario based on the state-of-the-art Argumentative Dialogue System EVA in which the proposed techniques can be applied.

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2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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