N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Authors
Extracting Linked Data following the Semantic Web principle from unstructured sources has become a key challenge for scientific research. Named Entity Recognition and Disambiguation are two basic operations in this extraction process. One step towards the realization of the Semantic Web vision and the development of highly accurate tools is the availability of data for validating the quality of processes for Named Entity Recognition and Disambiguation as well as for algorithm tuning. This article presents three novel, manually curated and annotated corpora (N3). All of them are based on a free license and stored in the NLP Interchange Format to leverage the Linked Data character of our datasets.
Originalsprache | Englisch |
---|---|
Titel | Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 |
Herausgeber | Nicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson |
Anzahl der Seiten | 5 |
Erscheinungsort | Reykjavik, Iceland |
Verlag | European Language Resources Association (ELRA) |
Erscheinungsdatum | 05.2014 |
Seiten | 3529-3533 |
ISBN (elektronisch) | 9782951740884 |
Publikationsstatus | Erschienen - 05.2014 |
Extern publiziert | Ja |
Veranstaltung | 9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Island Dauer: 26.05.2014 → 31.05.2014 Konferenznummer: 9 http://www.lrec-conf.org/proceedings/lrec2014/index.html |
Bibliographische Notiz
Funding Information:
We thank Luise Erfurth and Didier Cherix for helping us creating annotations of the datasets and Jens Lehmann for his feedback. A special thanks goes to news.de for allowing us to use their articles. Parts of this work were supported by the ESF and the Free State of Saxony.
- Informatik
- Wirtschaftsinformatik