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Da Ner Base
D
Da Ner Base
Developed by alexandrainst
This is a named entity recognition model fine-tuned from a Danish BERT model, specifically designed to identify entities such as persons, organizations, and locations in Danish sentences.
Downloads 119
Release Time : 3/2/2022
Model Overview
The model uses BIO annotation format to label named entities in Danish sentences, supporting the recognition of four entity types: PER (person), ORG (organization), LOC (location), and MISC (miscellaneous).
Model Features
Danish-specific
Fine-tuned from a Danish BERT model, optimized specifically for Danish named entity recognition tasks.
Multi-category recognition
Supports recognition of four named entity types: persons, organizations, locations, and miscellaneous.
BIO annotation format
Uses standard BIO annotation format for entity labeling.
Model Capabilities
Danish text processing
Named Entity Recognition
Entity classification
Use Cases
Information extraction
News text analysis
Extract key information such as persons and organizations from Danish news articles.
Accurately identifies named entities in Danish texts.
Document processing
Process entity information in Danish documents.
Automatically labels various entities in documents.
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