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Roberta Base Ca V2 Cased Ner

Developed by projecte-aina
Catalan named entity recognition model based on RoBERTa architecture, fine-tuned on the AnCora-Ca-NER dataset
Downloads 986
Release Time : 6/30/2022

Model Overview

Used to identify named entities in Catalan text, such as person names, place names, organization names, etc.

Model Features

High-precision recognition
Achieves 89.29 F1 score on Catalan NER tasks
Domain-specific optimization
Specifically optimized for Catalan language characteristics
Pre-trained model fine-tuning
Fine-tuned based on the roberta-base-ca-v2 pre-trained model

Model Capabilities

Identify named entities in Catalan text
Distinguish between different types of named entities (people, places, organizations, etc.)

Use Cases

Text analysis
News text analysis
Extract key people, places, and organization information from news articles
Accurately identifies named entities in Catalan news
Social media monitoring
Analyze mentioned entities in social media
Helps track brand or person mentions on social media
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