Icelandic Ner Distilbert
This model is a DistilBERT model fine-tuned on the MIM-GOLD-NER dataset for Icelandic, designed to recognize named entities in Icelandic text.
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Release Time : 3/2/2022
Model Overview
This model is specifically designed for Icelandic named entity recognition tasks, capable of identifying eight types of entities including dates, locations, miscellaneous, monetary amounts, organizations, percentages, persons, and times.
Model Features
Multi-category Entity Recognition
Capable of recognizing eight different types of named entities, including dates, locations, persons, etc.
Efficient and Lightweight
Based on the DistilBERT architecture, it reduces model size and computational resource requirements while maintaining high performance.
Trained on Professional Dataset
Trained using the MIM-GOLD-NER professional Icelandic named entity recognition dataset.
Model Capabilities
Icelandic text processing
Named entity recognition
Multi-category entity classification
Use Cases
Text Analysis
News Text Analysis
Extracting key entity information from Icelandic news
Accurately identifies key information such as persons, locations, and organizations in news
Legal Document Processing
Analyzing key entities in legal documents
Effectively identifies important information such as dates, monetary amounts, and relevant parties in legal documents
Information Extraction
Social Media Monitoring
Extracting entity information from social media content
Identifies key information such as mentioned persons, locations, and times by users
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