Extracting Information from Natural Language Using Generative AI

Extracting and structuring text elements with high accuracy using small models

In this post, I’ll introduce a paradigm recently developed at Anaplan for extracting temporal information from natural language text, as part of an NLQ (natural language query) project. While I will focus on time extraction, the paradigm is versatile and applicable for parsing various unstructured texts and extracting diverse patterns of information. This includes named entity recognition, text-to-SQL conversion, quantity extraction, …

accuracy data-augmentation extraction focus generated generative generative ai tools information information extraction language natural natural language natural language query nlp paradigm part project query small structured data temporal text while will