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

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

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

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.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
EditorsNicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
Number of pages5
Place of PublicationReykjavik, Iceland
PublisherEuropean Language Resources Association (ELRA)
Publication date05.2014
Pages3529-3533
ISBN (electronic)9782951740884
Publication statusPublished - 05.2014
Externally publishedYes
Event9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
Duration: 26.05.2014 → 31.05.2014
Conference number: 9
http://www.lrec-conf.org/proceedings/lrec2014/index.html

Bibliographical note

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.

ACL materials are Copyright © 1963–2023

Other publications by the same author(s)

ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs

Salnikov, M., Sakhovskiy, A., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Tutubalina, E., Usbeck, R. & Panchenko, A., 2026, Natural Language Processing and Information Systems: 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Proceedings. Ichise, R. (ed.). Springer Science and Business Media Deutschland, p. 95-110 16 p. (Lecture Notes in Computer Science; vol. 15836 LNCS).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Analyzing the Influence of Knowledge Graph Information on Relation Extraction.

Möller, C. & Usbeck, R., 2025

Research output: other publications › Other › Research

Analyzing the Influence of Knowledge Graph Information on Relation Extraction

Möller, C. & Usbeck, R., 2025, The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025 Portoroz, Slovenia, June 1–5, 2025 Proceedings, Part I. Curry, E., Acosta, M., Poveda-Villalón, M., van Erp, M., Ojo, A., Hose, K., Shimizu, C. & Lisena, P. (eds.). Cham: Springer Nature Switzerland AG, Vol. 1. p. 460-480 21 p. (Lecture Notes in Computer Science ; vol. 15718).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

ASK-DBLP: Answering Questions over DBLP

Taffa, T., Neises, P., Ollinger, S., Westphal, P., Ackermann, M. R., Banerjee, D. & Usbeck, R., 02.11.2025, ISWC-C 2025, Industry, Doctoral Consortium, Posters and Demos at ISWC 2025: Joint Proceedings of Industry, Doctoral Consortium, Posters and Demos of the 24th International Semantic Web Conference (ISWC-C 2025), ISWC 2025 Companion Volume. Celino, I., Hassanzadeh, O., Bernstein, A., Noy, N., Cheng, G., Wang, S., Ferrada, S., Soulard, T., Kozaki, K., Takeda, H. & Gentile, A. L. (eds.). Aachen: Sun Site Central Europe (RWTH Aachen University), p. 435-440 6 p. D13. (CEUR Workshop Proceedings; vol. 4085).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Automating SPARQL Query Translations between DBpedia and Wikidata

Bartels, M. C., Banerjee, D. & Usbeck, R., 14.07.2025, Linking Meaning: Semantic Technologies Shaping the Future of AI: Cover 74617 Proceedings of the 21st International Conference on Semantic Systems, 3-5 September 2025, Vienna, Austria. Spahiu, B., Vahdati, S., Salatino, A., Pellegrini, T. & Havur, G. (eds.). IOS Press BV, p. 176-193 18 p. (Studies on the Semantic Web; vol. 62).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research

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