Publikation

An Adaptive Framework for Named Entity Combination

Bogdan Sacaleanu, Günter Neumann

In: 8th ELRA Conference on Language Resources and Evaluation. International Conference on Language Resources and Evaluation (LREC-12) 8th May 21-27 Istanbul Turkey European Language Resources Association (ELRA) 2012.

Abstrakt

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.

Projekte

411_Paper.pdf (pdf, 596 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence