快速开发自然语言理解模块
Towards the Rapid Development of a Natural Language Understanding Module
摘要：
在开发会话代理时，通常迫切需要有一个可用的原型，以便与真实用户一起测试应用程序。一个绿野仙踪是可能的，但有时代理应该简单地部署在环境中，它将被使用。在这里，代理应该能够捕获尽可能多的交互，并了解人们对失败的反应。在本文中，我们专注于快速开发的自然语言理解模块的非专家。我们的方法遵循学习范式，并将理解自然语言的过程视为一个分类问题。我们测试我们的模块与会话代理，回答问题，在艺术领域。此外，我们展示了如何使用我们的方法可以由一个自然语言接口的电影数据库。
英文摘要：
When developing a conversational agent, there is often an urgent need to have a prototype available in order to test the application with real users. A Wizard of Oz is a possibility, but sometimes the agent should be simply deployed in the environment where it will be used. Here, the agent should be able to capture as many interactions as possible and to understand how people react to failure. In this paper, we focus on the rapid development of a natural language understanding module by non experts. Our approach follows the learning paradigm and sees the process of understanding natural language as a classification problem. We test our module with a conversational agent that answers questions in the art domain. Moreover, we show how our approach can be used by a natural language interface to a cinema database.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
