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Indic Bert Multiconer22 Bn
I
Indic Bert Multiconer22 Bn
Developed by sumitrsch
This is a model for the SemEval Multiconer task in the Bengali track, focusing on named entity recognition.
Downloads 32
Release Time : 7/6/2022
Model Overview
This model is designed for the Bengali track in the SemEval Multiconer competition, primarily for named entity recognition tasks in Bengali.
Model Features
Bengali Language Support
Named entity recognition capabilities optimized specifically for Bengali.
Competition Optimization
Specially designed for the SemEval Multiconer competition task.
Model Capabilities
Bengali Text Processing
Named Entity Recognition
Use Cases
Natural Language Processing
Bengali Text Analysis
Identify named entities from Bengali text.
Can be used for applications such as information extraction and knowledge graph construction.
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