Supply Chain Extraction

Supply Chain Extraction

Supply chains are increasingly more complex. Companies and orgnizations require visibility of their supply network in order to mitigate risks, and abide by international laws and regulations.

We apply Natural Language Processing (NLP) methods, and more specifically, information extraction: Named Entity Recognition (NER) and Relation Extraction (RE) for extracting supply chain maps from publicly published news articles.

This project is a close collaboration with Pascal Wichmann, which is the focus of his PhD work.