@inproceedings{sacaleanu-neumann-2012-adaptive,
title = "An Adaptive Framework for Named Entity Combination",
author = {Sacaleanu, Bogdan and
Neumann, G{\"u}nter},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/411_Paper.pdf",
pages = "1244--1249",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T An Adaptive Framework for Named Entity Combination
%A Sacaleanu, Bogdan
%A Neumann, Günter
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F sacaleanu-neumann-2012-adaptive
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/411_Paper.pdf
%P 1244-1249
Markdown (Informal)
[An Adaptive Framework for Named Entity Combination](http://www.lrec-conf.org/proceedings/lrec2012/pdf/411_Paper.pdf) (Sacaleanu & Neumann, LREC 2012)
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).