%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Marathi Ner
A Marathi named entity recognition model fine-tuned based on MahaBERT, trained on the L3Cube-MahaNER dataset.
Downloads 122
Release Time : 3/10/2022
Model Overview
MahaNER-BERT is a model specifically designed for Marathi named entity recognition (NER), capable of identifying entities such as person names, locations, and organizations in text.
Model Features
Fine-tuned on MahaBERT
Utilizes the MahaBERT pre-trained model for fine-tuning, optimized for Marathi named entity recognition tasks.
Supports IOB Format
The model outputs use the IOB (Inside-Outside-Beginning) tagging format, facilitating subsequent processing and analysis.
Multi-domain Applicability
The model performs well in both general domains and social media texts.
Model Capabilities
Identify named entities in Marathi text
Support recognition of multiple entity types
Process formal and informal texts
Use Cases
Information Extraction
News Text Analysis
Extract key information such as person names, locations, and organizations from news articles.
Accurately identifies various entities mentioned in the news
Social Media Monitoring
Analyze Marathi content on social media to identify mentioned individuals and organizations.
Suitable for public opinion monitoring and social analysis
Knowledge Graph Construction
Entity Relation Extraction
As the first step in building a knowledge graph, identify key entities in the text.
Provides a foundation for subsequent relation extraction
PyTorchFeatured Recommended AI Models