Abstract
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 language | English |
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Title of host publication | Risk, Reliability and Safety: Innovating Theory and Practice |
Subtitle of host publication | Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 |
Publisher | CRC Press/Balkema |
Pages | 307 |
Number of pages | 1 |
ISBN (Print) | 9781138029972 |
Publication status | Published - 2017 |
Event | 26th European Safety and Reliability Conference - Glasgow, United Kingdom Duration: 25 Sep 2016 → 29 Sep 2016 Conference number: 26 |
Conference
Conference | 26th European Safety and Reliability Conference |
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Abbreviated title | ESREL 2016 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 25/09/16 → 29/09/16 |