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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/761_Paper.pdf