Abstract
We have developed a new OSGi-based platform for Named Entity Recognition (NER) which uses a voting strategy to combine the results produced by several existing NER systems (currently OpenNLP, LingPipe and Stanford). The different NER systems have been systematically decomposed and modularized into the same pipeline of preprocessing components in order to support a flexible selection and ordering of the NER processing flow. This high modular and component-based design supports the possibility to setup different constellations of chained processing steps including alternative voting strategies for combining the results of parallel running components.- Anthology ID:
- L12-1213
- 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:
- 1244–1249
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/411_Paper.pdf
- DOI:
- Cite (ACL):
- Bogdan Sacaleanu and Günter Neumann. 2012. An Adaptive Framework for Named Entity Combination. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1244–1249, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- An Adaptive Framework for Named Entity Combination (Sacaleanu & Neumann, LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/411_Paper.pdf