AN AUTOMATIC DIALOG SIMULATION TECHNIQUE TO DEVELOP AND EVALUATE INTERACTIVE CONVERSATIONAL AGENTS
AN AUTOMATIC DIALOG SIMULATION TECHNIQUE TO DEVELOP AND EVALUATE INTERACTIVE CONVERSATIONAL AGENTS
复制标题
一种开发和评估交互式会话代理的自动对话模拟技术
DOI：
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复制
发表时间：
2013
影响因子：
2.8
通讯作者：
J. M. Molina
中科院分区：
文献类型：
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作者：
D. Griol;J. Rubiera;J. M. Molina
近年来，会话代理已成为一种解决方案，提供直接和更自然的方式检索信息在数字域。在这篇文章中，我们提出了一个基于代理的对话模拟技术学习新的对话策略和评估会话代理。使用这种技术，获取训练对话模型所需的数据，然后探索新的对话策略所需的工作量大大减少。还定义了一组度量来评估自动学习的对话策略并比较不同的对话语料库。我们已经应用这种技术来探索可能的对话策略的空间，并评估对话代理，收集监测数据，从患有糖尿病的患者获得的对话。这些措施的初始语料库和语料库使用对话模拟技术获得的比较结果表明，会话代理减少了完成对话所需的时间，并提高其质量，从而允许会话代理处理新的情况，并生成新的连贯的答案的情况下已经存在于初始模型。
During recent years, conversational agents have become a solution to provide straightforward and more natural ways of retrieving information in the digital domain. In this article, we present an agent-based dialog simulation technique for learning new dialog strategies and evaluating conversational agents. Using this technique, the effort necessary to acquire data required to train the dialog model and then explore new dialog strategies is considerably reduced. A set of measures has also been defined to evaluate the dialog strategy that is automatically learned and to compare different dialog corpora. We have applied this technique to explore the space of possible dialog strategies and evaluate the dialogs acquired for a conversational agent that collects monitored data from patients suffering from diabetes. The results of the comparison of these measures for an initial corpus and a corpus acquired using the dialog simulation technique show that the conversational agent reduces the time needed to complete the dialogs and improve their quality, thereby allowing the conversational agent to tackle new situations and generate new coherent answers for the situations already present in an initial model.
建模建模。
DOI：
10.1901/jeab.1999.71-275
发表时间：
1999
期刊：
Journal of the experimental analysis of behavior.
影响因子：
--
作者：
Killeen,PR
通讯作者：
Killeen,PR