N3 - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format

Michael Röder; Ricardo Usbeck; Sebastian Hellmann; Daniel Gerber; Andreas Both

N³ - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format

Michael Röder
, Ricardo Usbeck
, Sebastian Hellmann
, Daniel Gerber
, Andreas Both

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

84 Zitate (Scopus)

Abstract

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
Redakteure/-innen	Nicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
Seitenumfang	5
Erscheinungsort	Reykjavik, Iceland
Herausgeber (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.

Fachgebiete und Schlagwörter

Informatik
Wirtschaftsinformatik

Zugriff auf Dokument

https://aclanthology.org/L14-1662/Lizenz: CC BY-NC-SA

Dieses zitieren

Röder, M., Usbeck, R., Hellmann, S., Gerber, D., & Both, A. (2014). N³ - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format. in N. Calzolari, K. Choukri, S. Goggi, T. Declerck, J. Mariani, B. Maegaard, A. Moreno, J. Odijk, H. Mazo, S. Piperidis, & H. Loftsson (Hrsg.), Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 (S. 3529-3533). (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014). European Language Resources Association (ELRA). https://aclanthology.org/L14-1662/

Röder, Michael ; Usbeck, Ricardo ; Hellmann, Sebastian et al. / N³ - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format. Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. Hrsg. / Nicoletta Calzolari ; Khalid Choukri ; Sara Goggi ; Thierry Declerck ; Joseph Mariani ; Bente Maegaard ; Asuncion Moreno ; Jan Odijk ; Helene Mazo ; Stelios Piperidis ; Hrafn Loftsson. Reykjavik, Iceland : European Language Resources Association (ELRA), 2014. S. 3529-3533 (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014).

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Röder, M, Usbeck, R, Hellmann, S, Gerber, D & Both, A 2014, N³ - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format. in N Calzolari, K Choukri, S Goggi, T Declerck, J Mariani, B Maegaard, A Moreno, J Odijk, H Mazo, S Piperidis & H Loftsson (Hrsg.), Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014, European Language Resources Association (ELRA), Reykjavik, Iceland, S. 3529-3533, 9th International Conference on Language Resources and Evaluation, LREC 2014, Reykjavik, Island, 26.05.14. <https://aclanthology.org/L14-1662/>

N³ - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format. / Röder, Michael; Usbeck, Ricardo; Hellmann, Sebastian et al.
Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. Hrsg. / Nicoletta Calzolari; Khalid Choukri; Sara Goggi; Thierry Declerck; Joseph Mariani; Bente Maegaard; Asuncion Moreno; Jan Odijk; Helene Mazo; Stelios Piperidis; Hrafn Loftsson. Reykjavik, Iceland: European Language Resources Association (ELRA), 2014. S. 3529-3533 (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

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AU - Hellmann, Sebastian

AU - Gerber, Daniel

AU - Both, Andreas

N1 - Conference code: 9

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AB - 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.

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KW - Named entity detection

KW - Named entity disambiguation

KW - NLP interchange format

KW - Informatics

KW - Business informatics

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M3 - Article in conference proceedings

AN - SCOPUS:85032871168

T3 - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

SP - 3529

EP - 3533

BT - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

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A2 - Choukri, Khalid

A2 - Goggi, Sara

A2 - Declerck, Thierry

A2 - Mariani, Joseph

A2 - Maegaard, Bente

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Mazo, Helene

A2 - Piperidis, Stelios

A2 - Loftsson, Hrafn

PB - European Language Resources Association (ELRA)

CY - Reykjavik, Iceland

T2 - 9th International Conference on Language Resources and Evaluation, LREC 2014

Y2 - 26 May 2014 through 31 May 2014

ER -

Röder M, Usbeck R, Hellmann S, Gerber D, Both A. N³ - A collection of datasets for named entity recognition and disambiguation in the NLP interchange format. in Calzolari N, Choukri K, Goggi S, Declerck T, Mariani J, Maegaard B, Moreno A, Odijk J, Mazo H, Piperidis S, Loftsson H, Hrsg., Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014. Reykjavik, Iceland: European Language Resources Association (ELRA). 2014. S. 3529-3533. (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014).