From negative statements to positive safety

P. Hughes, M. Figueres-Esteban, C. Van Gulijk

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


The GB railway industry maintains a database of close calls which are “hazardous situations where the event sequence could lead to an accident if it had not been interrupted by a planned intervention or by a random event” (Gnoni et al. 2013). The data is entered as free-text by railway workers, however the very large number of events reported each year makes it infeasible for every record to be manually read to obtain safety information. Computer-assisted natural language processing (NLP) techniques can be employed to assist in reading the records. Whilst the current NLP literature describe a range of techniques to extract information, no overall approach has been identified that is effective in every situation: Grimmer & Stewart (2013) state that specific processes need to applied to solve specific problems.

Original languageEnglish
Title of host publicationRisk, Reliability and Safety: Innovating Theory and Practice
Subtitle of host publicationProceedings of the 26th European Safety and Reliability Conference, ESREL 2016
PublisherCRC Press/Balkema
Number of pages1
ISBN (Print)9781138029972
Publication statusPublished - 2017
Event26th European Safety and Reliability Conference - Glasgow, United Kingdom
Duration: 25 Sep 201629 Sep 2016
Conference number: 26


Conference26th European Safety and Reliability Conference
Abbreviated titleESREL 2016
Country/TerritoryUnited Kingdom


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