Dataset · Hugging Face

Babelscape/multinerd

Name: multinerd
Creator: Babelscape
License: cc-by-nc-sa-4.0
Keywords: task_categories:token-classification, task_ids:named-entity-recognition, annotations_creators:machine-generated, language_creators:machine-generated, multilinguality:multilingual, source_datasets:original, language:de, language:en, language:es, language:fr, language:it, language:nl, language:pl, language:pt, language:ru

Dataset Card for MultiNERD dataset Description Summary: In a nutshell, MultiNERD is the first language-agnostic methodology for automatically creating multilingual, multi-genre and fine-grained annotations for Named Entity Recognition and Entity Disambiguation. Specifically, it can be seen an extension of the combination of two prior works from our research group that are WikiNEuRal, from which we took inspiration for the state-of-the-art silver-data creation… See the full description on the dataset page: https://huggingface.co/datasets/Babelscape/multinerd.

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Author / organization	Babelscape
License (as declared)	cc-by-nc-sa-4.0
Downloads	1.5K (as reported by Hugging Face)
Likes	27
Created	20 April 2023
Last updated at source	20 April 2023

structure-prediction

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16 Oct 2026 Description: Dataset Card for MultiNERD dataset Description Summary: In a nutshell, MultiNERD is the first language-agnostic methodology for automatically creating multilingual, multi-genre and fine-grained annotations for Named Entity Recognition and E → Dataset Card for MultiNERD dataset Description Summary: In a nutshell, MultiNERD is the first language-agnostic methodology for automatically creating multilingual, multi-genre and fine-grained annotations for Named Entity Recognition and E

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