Summary of the paper
| Title | An Adaptive Framework for Named Entity Combination |
|---|---|
| Authors | Bogdan Sacaleanu and Günter Neumann |
| 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. |
| Topics | Named Entity recognition, Tools, systems, applications, Evaluation methodologies |
Full paper  |
An Adaptive Framework for Named Entity Combination |
| Bibtex | @InProceedings{SACALEANU12.411, author = {Bogdan Sacaleanu and Günter Neumann}, title = {An Adaptive Framework for Named Entity Combination}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |