erayyildiz/turkish_ner
Turkish Wikipedia Named-Entity Recognition and Text Categorization (TWNERTC) dataset is a collection of automatically categorized and annotated sentences obtained from Wikipedia. The authors constructed large-scale gazetteers by using a graph crawler algorithm to extract relevant entity and domain information from a semantic knowledge base, Freebase. The constructed gazetteers contains approximately 300K entities with thousands of fine-grained entity types under 77 different domains.
| Author / organization | erayyildiz |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 147 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 2 March 2022 |
| Last updated at source | 18 January 2024 |
Popularity, last 3 days
147 now (+5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- furkanbekmezci/turkextract-turkish-information-extractionModel · used to train
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