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Icebert Finetuned Ner
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Icebert Finetuned Ner

Developed by eliasbe
An Icelandic named entity recognition model fine-tuned based on the IceBERT architecture, specifically designed to identify named entities in Icelandic text
Sequence Labeling
Transformers
Open Source License:Gpl-3.0#Icelandic NER#BERT fine-tuning#Entity recognition
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is an optimized Named Entity Recognition (NER) model for Icelandic, capable of identifying specific entity categories such as person names, place names, and organization names in text.

Model Features

Icelandic Optimization
Specially optimized for Icelandic text, capable of accurately identifying various named entities in Icelandic
Based on IceBERT Architecture
Utilizes the IceBERT pre-trained language model as its foundation, offering robust contextual understanding capabilities
High-Quality Training Data
Fine-tuned using the mim_gold_ner dataset, which contains rich annotations of Icelandic named entities

Model Capabilities

Icelandic text processing
Named entity recognition
Entity classification

Use Cases

Text Analysis
News Text Analysis
Extracting key information such as person names and place names from Icelandic news
Automatically identifies various entities mentioned in the news
Document Processing
Processing Icelandic documents to extract important entity information
Generates a list of entities appearing in the document
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