Generating relevant scenarios for intelligent transportation service
This addresses risk assessment for project stakeholders in intelligent transportation services, but appears incremental as it applies existing NLP techniques to a specific domain.
The paper tackled risk assessment in complex systems by proposing an NLP-based approach to improve quality requirements like consistency and completeness, with results assessed through experiments and stakeholder feedback.
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.