Handle: https://hdl.handle.net/21.11129/0000-000D-FE95-D (persistent URL to this page)
We publish three novel datasets called N3. N3 will be published using NIF ensuring a greater interoperability to overcome the need for corpus-specific parsers. The data can be downloaded from our project homepage.
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Bilingual text corpus Languages
German
English
Linguality Linguality type: Bilingual
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Metadata Created: 09/29/2020
Last Updated: 11/18/2020
Usage Foreseen Use Nlp Applications Use NLP Specific: Semantic Web
Documentation
Document Type: In Proceedings
Michael Röder, Ricardo Usbeck, Sebastian Hellmann, Daniel Gerber and Andreas Both,
N³ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format
Editor: Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis
Publisher: European Language Resources Association (ELRA)
Book Title: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
ISBN: 978-2-9517408-8-4
Document Language:
English