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Are the Tools up to the Task? An evaluation of commercial dialog tools in developing conversational enterprise-grade dialog systems

机译:工具适合任务吗?开发会话型企业级对话系统中的商业对话工具的评估

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There has been a significant investment in dialog systems (tools and runtime) for building conversational systems by major companies including Google, IBM, Microsoft, and Amazon. The question remains whether these tools are up to the task of building conversational, task-oriented dialog applications at the enterprise level. In our company, we are exploring and comparing several toolsets in an effort to determine their strengths and weaknesses in meeting our goals for dialog system development: accuracy, time to market, ease of replicating and extending applications, and efficiency and ease of use by developers. In this paper, we provide both quantitative and qualitative results in three main areas: natural language understanding, dialog, and text generation. While existing toolsets were all incomplete, we hope this paper will provide a roadmap of where they need to go to meet the goal of building effective dialog systems.
机译:在包括Google,IBM,Microsoft和Amazon,包括谷歌,IBM,Microsoft和Amazon的主要公司,对对话系统(工具和运行时)进行了重大投资。问题仍然是这些工具是否达到在企业级别构建会话,任务导向的对话应用程序的任务。在我们公司中,我们正在探索和比较若干工具集,以确定他们的优势和缺点在实现对话系统开发的目标方面:准确性,市场的时间,易于复制和扩展的应用,以及开发人员的效率和易用性。在本文中,我们在三个主要领域提供定量和定性结果:自然语言理解,对话框和文本生成。虽然现有工具集全部不完整,但我们希望本文能够提供符合建立有效对话系统的目标的路线图。

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