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Nbailab Base Ner Scandi

Developed by saattrupdan
Named entity recognition model for Danish, Norwegian, Swedish, Icelandic, and Faroese, fine-tuned based on NbAiLab/nb-bert-base
Downloads 16.94k
Release Time : 3/2/2022

Model Overview

This model is a named entity recognition model fine-tuned based on NbAiLab/nb-bert-base, specifically designed to identify named entities in Scandinavian languages, including persons, locations, organizations, and other types of entities.

Model Features

Multilingual Support
Supports multiple Scandinavian languages including Danish, Norwegian (Bokmål and Nynorsk), Swedish, Icelandic, and Faroese
High Performance
Excellent performance on multiple Scandinavian language NER test sets, with an average Micro-F1 score of 89.08%
Efficient and Lightweight
Small model size (676MB) with fast processing speed (4.16 samples/sec), significantly outperforming similar large models
Four-category Entity Recognition
Accurately identifies four types of named entities: Person (PER), Location (LOC), Organization (ORG), and Miscellaneous (MISC)

Model Capabilities

Danish Named Entity Recognition
Norwegian Named Entity Recognition
Swedish Named Entity Recognition
Icelandic Named Entity Recognition
Faroese Named Entity Recognition
English Named Entity Recognition (suboptimal)

Use Cases

Text Analysis
News Text Entity Extraction
Extract person names, place names, and organization names from Scandinavian language news articles
Accurately identifies key entity information in text
Social Media Monitoring
Analyze entity mentions in social media
Helps track mentions of brands, people, or locations
Knowledge Graph Construction
Knowledge Base Entity Linking
Identify and link entities for Scandinavian language knowledge graphs
Improves automation in knowledge graph construction
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