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Electra Small Ner

Developed by rv2307
A named entity recognition model fine-tuned based on electra-small, capable of identifying three types of entities: locations, person names, and organizations
Downloads 74
Release Time : 2/22/2024

Model Overview

This model is a NER model fine-tuned from Google's electra-small discriminator, primarily used for named entity recognition tasks in English texts, capable of predicting three types of entities: locations, person names, and organizations.

Model Features

Multi-category Entity Recognition
Capable of simultaneously identifying three types of entities: Location, Person, and Organization
Based on Electra Architecture
Uses Google's electra-small discriminator as the base model, featuring efficient discriminative capabilities
Aggregation Strategy Support
Provides aggregation_strategy parameter to handle inconsistent subword predictions

Model Capabilities

English text named entity recognition
Location recognition
Person name recognition
Organization recognition

Use Cases

Information Extraction
News Text Analysis
Extract key entity information from news articles
Can accurately identify people, locations, and organizations mentioned in the news
Document Processing
Process entity information in business documents
Can be used to automatically extract key entities from contracts or reports
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