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Conflibert Named Entity Recognition
A named entity recognition model fine-tuned based on the ConfliBERT model, excelling at identifying entities such as people, organizations, locations, time expressions, and monetary values in text.
Downloads 2,410
Release Time : 3/4/2024
Model Overview
This model enhances the recognition and classification of named entities in text content by fine-tuning the base ConfliBERT model, making it suitable for analyzing political conflict and violence-related texts.
Model Features
Optimized for Political Conflict
Designed specifically for political conflict and violence-related texts, achieving higher recognition accuracy in this domain.
Multi-class Entity Recognition
Capable of identifying and classifying various entity types, including people, organizations, locations, time, and monetary values.
Fine-tuned on ConfliBERT
Built upon the specially pre-trained ConfliBERT model, offering advantages in domain adaptability.
Model Capabilities
Text Entity Recognition
Entity Classification
Political Conflict Text Analysis
Use Cases
Political Analysis
Conflict Event Report Analysis
Automatically identifies involved parties, locations, and time information in conflict reports.
Improves the efficiency and accuracy of event analysis.
News Media
News Content Tagging
Automatically identifies key entities in news articles.
Facilitates content categorization and retrieval.
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