Rembrandt - a named-entity recognition framework

Nuno Cardoso


Abstract
Rembrandt is a named entity recognition system specially crafted to annotate documents by classifying named entities and ground them into unique identifiers. Rembrandt played an important role within our research over geographic IR, thus evolving into a more capable framework where documents can be annotated, manually curated and indexed. The goal of this paper is to present Rembrandt's simple but powerful annotation framework to the NLP community.
Anthology ID:
L12-1212
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:
1240–1243
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/409_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Nuno Cardoso. 2012. Rembrandt - a named-entity recognition framework. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1240–1243, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Rembrandt - a named-entity recognition framework (Cardoso, LREC 2012)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/409_Paper.pdf