Project Debater was revealed in 2019 as the first AI system that can debate human experts on complex topics. Engaging in a live debate requires a diverse set of skills, and Project Debater has been developed accordingly as a collection of components, each designed to perform a specific subtask. Project Debater APIs provide access to many of these capabilities, as well as to more recently developed ones. This diverse set of web services, publicly available for academic use, includes core NLP services, argument mining and analysis capabilities, and higher-level services for content summarization. We describe these APIs and their performance, and demonstrate how they can be used for building practical solutions. In particular, we will focus on Key Point Analysis, a novel technology that identifies the main points and their prevalence in a collection of texts such as survey responses and user reviews.
翻译：2019年,项目辩论者被公诸于世,作为第一个能够就复杂议题对人的专家进行辩论的AI系统,项目辩论者在2019年被公诸于世,被公诸于世,成为第一个能够就复杂的议题对人的专家进行辩论的AI系统。 参与现场辩论需要一套不同的技能,因此,项目辩论者作为各组成部分的集合而得到开发,每个组成部分都旨在执行具体的子任务。项目辩论者API提供许多这类能力以及最近开发的功能。这一套公开供学术使用的多样化的网络服务包括核心的NLP服务、论证、挖掘和分析能力以及内容总结的更高层次的服务。我们描述了这些API及其绩效,并展示如何利用它们来建立切实可行的解决办法。我们尤其将侧重于关键点分析,这是一种在调查答复和用户审查等汇编的文本中确定要点及其流行性的新技术。
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