自然语言人机交互对话系统的“小数据”驱动方法

2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD) Pub Date : 2017-07-01 DOI:10.1109/SPED.2017.7990441

Tiberiu Boros, Stefan Daniel Dumitrescu

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引用次数: 1

摘要

本文描述了一种数据驱动的方法来处理人与设备之间的自然语言交互。这种方法支持基于示例的交互场景定义和调优。操作和参数可以很容易地配置，不需要事先了解自然语言处理，也不需要以前使用这种类型的系统的经验。该平台需要少量与语言相关的资源，因此这种方法非常适合创建多语言自然语言接口。

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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A “small-data”-driven approach to dialogue systems for natural language human computer interaction

This paper describes a data-driven approach to handling natural language interaction between humans and devices. This approach enables example-based definition and tuning of interaction scenarios. Actions and parameters can be easily configured, requiring no prior knowledge of natural language processing and no previous experience with this type of systems. The platform requires a small amount of language-dependent resources, making this approach ideal for creating multilingual natural language interfaces.

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2017 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)

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