Evaluation of a Complex Information Extraction Application in Specific Domain

Romaric Besançon, Olivier Ferret, Ludovic Jean-Louis


Abstract
Operational intelligence applications in specific domains are developed using numerous natural language processing technologies and tools. A challenge for this integration is to take into account the limitations of each of these technologies in the global evaluation of the application. We present in this article a complex intelligence application for the gathering of information from the Web about recent seismic events. We present the different components needed for the development of such system, including Information Extraction, Filtering and Clustering, and the technologies behind each component. We also propose an independent evaluation of each component and an insight of their influence in the overall performance of the system.
Anthology ID:
L12-1445
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:
2056–2063
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/761_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Romaric Besançon, Olivier Ferret, and Ludovic Jean-Louis. 2012. Evaluation of a Complex Information Extraction Application in Specific Domain. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 2056–2063, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Evaluation of a Complex Information Extraction Application in Specific Domain (Besançon et al., LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/761_Paper.pdf