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levow/msra_ner

The Third International Chinese Language Processing Bakeoff was held in Spring 2006 to assess the state of the art in two important tasks: word segmentation and named entity recognition. Twenty-nine groups submitted result sets in the two tasks across two tracks and a total of five corpora. We found strong results in both tasks as well as continuing challenges. MSRA NER is one of the provided dataset. There are three types of NE, PER (person), ORG (organization) and LOC (location). The dataset is in the BIO scheme. For more details see https://faculty.washington.edu/levow/papers/sighan06.pdf

Author / organizationlevow
License (as declared)unknown
Downloads413 (as reported by Hugging Face)
Likes25
Created2 March 2022
Last updated at source18 January 2024
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