A knowledge-based question answering system based on car manuals

iNAGO是一家国际公司，致力于通过提供一个名为netpeople的对话助理平台，使计算机更加自然。Netpeople平台将创新的自然语言会话技术与工具和预设应用程序相结合，智能设备制造商（如丰田，NEC，Clarion等）使用这些工具和应用程序来实现自己独特的智能助理服务。 iNAGO的关键应用之一是基于语音的问答（QA）系统，该系统将与用户匡威，以获得最合适的答案。兄弟工业、丰田等公司目前正在使用这一系统。iNAGO希望与约克合作，大幅改善这一系统，满足客户的需求。 约克和iNAGO研究团队将采用逐步的方法来构建和测试车内交互式QA系统。该系统作为驾驶员的导航仪和数字礼宾，使他们能够安全地管理信息，同时有效地驾驶。在开发这样一个交互式QA系统的主要挑战之一是设计和生成的知识库的问题回答。目前iNAGO QA系统中使用的知识库主要是手工创建的，这非常耗时且不容易维护。 在这个Engage项目中，我们将使用机器学习技术（如主题建模）来自动创建基于汽车手册的车载QA系统的知识库，以回答用户可能对汽车的使用，操作和维护提出的问题。我们将通过处理用户的问题并向用户提供答案来测试我们的知识库。

iNAGO is an international company dedicated to making computers more natural by providing a conversational assistant platform called netpeople. The netpeople platform combines innovative natural language conversational technology with tools and pre-set applications that smart device makers, such as Toyota, NEC, Clarion, and others, use to enable their own unique smart assistant service. One of iNAGO's key applications is a voice based question and answer (QA) system that will converse with users to obtain the most appropriate answers to their question. Companies such as Brother Industries, Toyota and others are currently using this system. iNAGO is looking to work with York to drastically improve this system and meet the needs of its customers. The York and iNAGO research team will employ a stepwise approach to build and test an in-car interactive QA system. This system works as the driver's navigator and digital concierge, enabling them to safely manage information and drive effectively at the same time. One of the major challenges in developing such an interactive QA system is the design and generation of a knowledge base for question answering. The current knowledge base used in iNAGO QA systems was mainly manually created, which was very time-consuming and not easy to maintain. In this Engage project, we will use machine learning techniques (such as topic modeling) to automatically create a knowledge base for an in-car QA system based on a car manual in order to answer questions that the user may have regarding the usage, operation and maintenance of the car. We will test our knowledge base by processing users' questions and providing answers to the users.