NER From Chatbot User Messages

Tags: NLP · Banking

Extraction of named entities (NE) from banking chatbot messages—beneficiary names, transfer amounts, account types, account numbers, etc. Instead of a single model, we used a recipe of approaches: BERT for beneficiary name extraction, RegEx for transfer amounts and account numbers, and lookup tables for account type extraction. This minimized the training burden for Bengali, a low-resource language.