将对话组件集成到口语理解框架中

Sebastian Weigelt, Tobias Hey, Mathias Landhäußer
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引用次数: 7

摘要

语音界面是人机交互的最新发展趋势。用户享受着新获得的自由,但开发人员却面临着一项陌生而艰巨的任务。创建反应式口语界面需要自然语言处理方面的技能。我们展示了开发人员如何通过软件工程方法将对话组件集成到自然语言处理系统中。我们的研究项目PARSE就是一个例子,该项目旨在用自然语言进行自然的最终用户编程。我们将一个对话组件与PARSE集成在一起,而不影响它的其他组件:我们模块化了对话管理,并引入了绑定对话触发器和系统反应的对话行为。我们实现了三个对话行为来解决以下问题:语音识别的不确定性、共指歧义和不完整条件。我们进行了一个有10个对象的用户研究来评估我们的方法。对话框组件实现了23%到50%的解决率(取决于对话框行为),并且引入了可以忽略不计的错误。我们预计,随着额外对话行为的实施,整体性能将进一步提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating a Dialog Component into a Framework for Spoken Language Understanding
Spoken language interfaces are the latest trend in human computer interaction. Users enjoy the newly found freedom but developers face an unfamiliar and daunting task. Creating reactive spoken language interfaces requires skills in natural language processing. We show how a developer can integrate a dialog component in a natural language processing system by means of software engineering methods. Our research project PARSE that aims at naturalistic end-user programming in spoken natural language serves as an example. We integrate a dialog component with PARSE without affecting its other components: We modularize the dialog management and introduce dialog acts that bundle a trigger for the dialog and the reaction of the system. We implemented three dialog acts to address the following issues: speech recognition uncertainties, coreference ambiguities, and incomplete conditionals. We conducted a user study with ten subjects to evaluate our approach. The dialog component achieved resolution rates from 23% to 50% (depending on the dialog act) and introduces a negligible number of errors. We expect the overall performance to increase even further with the implementation of additional dialog acts.
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