Risk Analysis and Prevention: LELIE, a Tool dedicated to Procedure and Requirement Authoring

Flore Barcellini, Camille Albert, Corinne Grosse, Patrick Saint-Dizier


Abstract
In this paper, we present the first phase of the LELIE project. A tool that detects business errors in technical documents such as procedures or requirements is introduced. The objective is to improve readability and to check for some elements of contents so that risks that could be entailed by misunderstandings or typos can be prevented. Based on a cognitive ergonomics analysis, we survey a number of frequently encountered types of errors and show how they can be detected using the discourse analysis platform. We show how errors can be annotated, give figures on error frequencies and analyze how technical writers perceive our system.
Anthology ID:
L12-1020
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
698–705
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/139_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Flore Barcellini, Camille Albert, Corinne Grosse, and Patrick Saint-Dizier. 2012. Risk Analysis and Prevention: LELIE, a Tool dedicated to Procedure and Requirement Authoring. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 698–705, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Risk Analysis and Prevention: LELIE, a Tool dedicated to Procedure and Requirement Authoring (Barcellini et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/139_Paper.pdf