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arXiv 2011.13284cs.CLcs.IR

A question-answering system for aircraft pilots' documentation

Airbus AI Research(空客人工智能研究院)

Alexandre Arnold, Gérard Dupont, Félix Furger, Catherine Kobus, François Lancelot

英文摘要:

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.

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。

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