DFKI-LT - An Adaptive Framework for Named Entity Combination

Bogdan Sacaleanu, GŁnter Neumann
An Adaptive Framework for Named Entity Combination
2 8th ELRA Conference on Language Resources and Evaluation, Istanbul, Turkey, European Language Resources Association (ELRA), ELRA, 2012
 
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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