Ivan Brancati
Generative Artificial Intelligence for Insurance: developing a chatbot for Multi-Document Summarization of Insurance Products.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2025
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Abstract
Natural Language Processing is a topic widely analyzed in the computer science field and is very important today, since Generative Artificial Intelligence is driving the technological evolution. GenAI finds applications across several domains, supporting multiple NLP tasks such as Text Classification, Sentiment Analysis, and Text Generation. In particular, Multi-Document Summarization is very useful in an era full of information. The MDS objective is to automatically obtain resumes from numerous documents. It usually summarizes documents that represent news or events, but a lot of different fields could benefit from it. MDS in the economic field is still unexplored. In particular, this work faced the challenge of producing a good-quality resume of multiple documents that describe insurance products.
For this reason, we adapted the Chain-of-Events approach, which has obtained amazing results in the news-related summaries, to the insurance sector, using LangChain APIs and ChatGPT
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