borisshapa/bert-crf

Solutions of the problems NER and RE in the domain of business documents with the BERT+CRF model.

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Experimental

This project helps business analysts and researchers automatically extract key information from Russian business documents like regional reports and strategic plans. It takes raw text documents as input and outputs structured data, identifying specific named entities (like companies, economic indicators, or institutions) and the relationships between them. This helps professionals quickly understand crucial details and connections hidden within large volumes of unstructured text.

No commits in the last 6 months.

Use this if you need to automatically identify and categorize specific entities and their relationships within a large corpus of Russian business-related texts.

Not ideal if your documents are in a language other than Russian or if you are not working with business-specific text data.

business-intelligence text-analytics market-research document-processing information-extraction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 10 / 25

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Jupyter Notebook

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Last pushed

Jan 16, 2023

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