ESG/Financial NER Model (sb253)
A custom Named Entity Recognition (NER) model trained for extracting key entities from ESG (Environmental, Social, and Governance) reports, sustainability documents, and financial statements.
Model Description
This model identifies and classifies entities relevant to ESG reporting and financial analysis, supporting automated data extraction from sustainability reports, XBRL filings, and financial documents.
Model Architecture: XLM-RoBERTa-based Token Classification
Model Size: ~800MB
Training Domain: ESG/Sustainability/Financial Reports
Inference: Optimized for CPU deployment on Google Cloud Run
Supported Entity Types
| Entity Type | Description | Examples |
|---|---|---|
| CONCEPT | ESG concepts, metrics, and terminology | "carbon emissions", "renewable energy", "employee satisfaction" |
| VALUE | Numerical values and amounts | "15%", "2.5 million", "50 tons" |
| UNIT | Units of measurement | "CO2e", "USD", "percent", "GWh" |
| PERIOD | Time periods and reporting dates | "Q4 2024", "fiscal year 2023", "January-March" |
| ENTITY | Organizations, companies, subsidiaries | "Acme Corporation", "European Union", "Board of Directors" |
| CHANGE | Change indicators and trends | "increased", "decreased", "reduced by", "grew" |
Usage
Deployment on Google Cloud Run
The model is deployed as a FastAPI service with the following endpoints:
Base URL: https://ner-backend-171009084156.europe-west1.run.app
Endpoints
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