Managing Compliance Documents: Origin Food Case Study

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This lecture presents the experience of a Digital Humanities Master student at EPFL during their internship at Origin Food. The student worked on improving CERT Care, a tool for managing products-compliance documents, by redesigning interfaces and workflows to enhance the validation process for regulatory experts. The student also integrated NLP technology to extract relevant information from compliance documents, providing design documents for further implementation.

Language technology, often called human language technology (HLT), studies methods of how computer programs or electronic devices can analyze, produce, modify or respond to human texts and speech. Working with language technology often requires broad knowledge not only about linguistics but also about computer science. It consists of natural language processing (NLP) and computational linguistics (CL) on the one hand, many application oriented aspects of these, and more low-level aspects such as encoding and speech technology on the other hand.

Natural language processing (NLP) is an interdisciplinary subfield of linguistics and computer science. It is primarily concerned with processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them.