The Knowledge Required to Interpret Noun Compounds
The Knowledge Required to Interpret Noun Compounds
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发表时间：
2009-07
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通讯作者：
M. Ptaszynski;Pawel Dybala;Wenhan Shi;Rafal Rzepka;K. Araki
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作者：
M. Ptaszynski;Pawel Dybala;Wenhan Shi;Rafal Rzepka;K. Araki
本文提出了一种新的方法来估计用户的情感状态在人机交互。目前的大多数方法都严格地将情绪分为积极或消极。然而，最近在情商领域的发现表明，情绪应该被视为与世界的上下文敏感的参与。这导致需要指定在对话中传达的情感是否适合于它们所表达的情况。在所提出的方法中，我们使用的文本输入的影响分析系统，以识别用户的情绪和Web挖掘技术，以验证这些情绪的上下文适当性。在此基础上，会话代理可以选择同情用户或帮助他们管理自己的情绪。最后，两个不同的会话代理所提出的方法的评价结果进行了讨论，并提出了进一步发展的方法的前景。
This paper presents a novel approach to the estimation of user's affective states in Human-Computer Interaction. Most of the present approaches divide emotions strictly between positive or negative. However, recent discoveries in the field of Emotional Intelligence show that emotions should be rather perceived as context-sensitive engagements with the world. This leads to a need to specify whether the emotions conveyed in a conversation are appropriate for a situation they are expressed in. In the proposed method we use a system for affect analysis on textual input to recognize users emotions and a Web mining technique to verify the contextual appropriateness of those emotions. On this basis a conversational agent can choose to either sympathize with the user or help them manage their emotions. Finally, the results of evaluation of the proposed method with two different conversational agents are discussed, and perspectives for further development of the method are proposed.