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Roberta Large Ner English

Developed by ydshieh
An English named entity recognition model fine-tuned on the conll2003 dataset based on roberta-large, specifically optimized for recognizing entities with non-initial capital letters
Downloads 36
Release Time : 3/23/2022

Model Overview

This model is used for English named entity recognition tasks, capable of identifying entities such as person names, organization names, and locations in text, with excellent performance on email/chat data

Model Features

Optimized for Non-Initial Capital Entities
Specifically optimized for entities with non-initial capital letters, outperforming other models in such cases
Excellent Performance on Email/Chat Data
Better recognition performance on informal texts like emails and chat data compared to traditional NER models
Multi-category Entity Recognition
Capable of recognizing various entity types including person names (PER), organization names (ORG), locations (LOC), and miscellaneous (MISC)

Model Capabilities

English Named Entity Recognition
Informal Text Entity Extraction
Multi-category Entity Classification

Use Cases

Information Extraction
Email Entity Extraction
Extract key information such as person names and company names from emails
Achieved an F1 score of 0.8967 for person name recognition on a private dataset
Chat Log Analysis
Analyze locations and people mentioned in chat logs
Outperforms traditional NER models like Spacy on informal texts
Knowledge Graph Construction
Entity Relation Extraction
As a preliminary step for knowledge graph construction, identify key entities in text
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