Natural Language Processing (NLP) and Machine Learning (ML) are two of the most prominent forms of artificial intelligence today that have revolutionized countless industries. They exist in every industry that helps people interact with computers and make our communication with technologies more meaningful. For example, NLP can help make sense of unstructured or semi-structured data from various sources and formats. In this case study, we describe our approach to extracting fields from spec sheets for the manufacturing industry.
We've developed a system that can extract fields from spec sheets using an algorithmic pipeline. Although a pure ML solution based on attention models is possible, it may be less reliable and more time-consuming.