Automated feature extraction from merger documents: Novel approches using LLMs

Nowadays, data comes in various forms, and text data is just as critical, if not more so, as numerical data. The challenge we faced was devising a solution for legal practitioners who constantly engage in document research and reading. We sourced our data from the European Commission's website, performed an analysis, and developed unique features based on the data obtained. We introduced an innovative technique for analyzing and extracting entities from PDF documents and created a knowledge-based chatbot for user interaction. Additionally, we conducted a comprehensive assessment to evaluate the accuracy of our models.

P.S: The project mentioned above is subject to a Non-Disclosure Agreement (NDA), therefore the code cannot be shared. However, feel free to reach out if further information is needed.