NLP応用arXiv:1911.08276
自然言語処理で交通サービスのシナリオを生成
Generating relevant scenarios for intelligent transportation service
NLP技術を用いて複雑な交通システムの要件の一貫性と完全性を高め、関係者間のリスク理解を共有する手法を提案し、実験で有効性を検証した。
著者: Ismet Addoui, Tarek Chouaki, Ambrogio Delli Colli
分類: cs.CY, cs.RO
原文アブストラクト
This paper addresses risk assessment issues while conceiving complex systems. Indeed, project stakeholders have to share the same problems understanding allowing to undertake rational and optimal decisions. We propose an approach based on Natural Language Processing (NLP) techniques to improve systems quality requirements such as consistency and completeness. We assess the relevancy of our approaches through experimentations and highlighted feedbacks from project stakeholders and players.