Automatic software product features extraction from software vendor documents

Abstract

This project focuses on the automatic software features extraction from vendors' webpages and the consequent creation of a knowledge graph to accommodate these features. The use of LLMs for the classification of features is explored, through prompt engineering and few-shot learning, which is compared to traditional supervised learning techniques.