The aerospace industry relies on massive collections of complex and technical documents covering system descriptions, manuals or procedures. This paper presents a question answering (QA) system that would help aircraft pilots access information in this documentation by naturally interacting with the system and asking questions in natural language. After describing each module of the dialog system, we present a multi-task based approach for the QA module which enables performance improvement on a Flight Crew Operating Manual (FCOM) dataset. A method to combine scores from the retriever and the QA modules is also presented.
翻译:航天工业依靠大量复杂的技术文件,包括系统说明、手册或程序,本文件提出了一个问题回答系统,通过与系统自然互动和以自然语言提出问题,帮助飞机飞行员获取这些文件中的信息。在描述对话系统每个模块之后,我们为质量评估模块提出了一个基于多重任务的方法,该方法使飞行机组操作手册数据集的性能得到改进。还介绍了将检索器的分数与质量评估模块的分数结合起来的方法。