Dataset · Hugging Face

DFKI-SLT/cross_ner

Name: cross_ner
Creator: DFKI-SLT
Keywords: task_categories:token-classification, task_ids:named-entity-recognition, annotations_creators:expert-generated, language_creators:found, multilinguality:monolingual, source_datasets:extended|conll2003, language:en, size_categories:10K<n<100K, modality:text, library:datasets, library:mlcroissant, arxiv:2012.04373, region:us, cross domain, ai

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specialized entity categories for different domains. Additionally, CrossNER also includes unlabeled domain-related corpora for the corresponding five domains. For details, see the paper: [CrossNER: Evaluating Cross-Domain Named Entity Recognition](https://arxiv.org/abs/2012.04373)

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Author / organization	DFKI-SLT
Downloads	595 (as reported by Hugging Face)
Likes	6
Created	19 January 2023
Last updated at source	19 January 2023

cross domainainewsmusicliteraturepoliticsscience

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