March 24, 2021
Document analysis and understanding is an active area of research in the applied NLP community. In this talk, we demonstrate an unsupervised method to organize a body of text into a set of topics and outliers. This approach uses a transformer model that has been fine-tuned for semantic similarity (SentenceTransformers hyperlink: sbert.net). It can be used to quickly review a large set of documents to identify areas of interest or concern without requiring a human to exhaustively read through each document one-by-one. We demonstrate this approach applied to the lyrics of an early-2000s hit musical piece.
March 10, 2020
Natural-language processing (NLP) is the "killer app" for insurance because the cost of building custom NLP apps has plummeted and performance is approaching-human level.
December 30, 2019
NLP technology is accelerating while costs are plummeting. As a result, most insurance companies are leveraging new language models for revenue-driving and cost-cutting initiatives. In this technical webinar we will cover modern NLP basics and help you get started.