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2012
- handle: 10670/1.ejw664
- halshs: halshs-00953658
info:eu-repo/semantics/OpenAccess
Mots-clés
Natural Language Processing Analysis of accidents/incidents Categorization Textual similaritySujets proches
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Christophe Pimm et al., « Natural Language Processing (NLP) tools for the analysis of incident and accident reports », HAL-SHS : linguistique, ID : 10670/1.ejw664
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Résumé
The human factor field is expected to evolve due to the development of Natural Language Processing tools which allow for new approaches to handle natural language data. In the current project, we use NLP methods to facilitate experience feedback in the field of civil aviation safety. In this paper, we present how NLP methods based on the extraction of textual information from the Air France ASR can contribute to (i) the improvement of the reliability of the coding, facilitating the coding itself, (ii) the analysis of reports regardless of the categorization in order to expand the analysis perimeter and to avoid the inherent limitations of the codification.