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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