AuSuM – Automatic Supply Chain Monitoring
At a glance
- Project leader : Dr. Mark Cieliebak
- Deputy of project leader : Dr. Ahmad Aghaebrahimian
- Project budget : CHF 800'000
- Project status : completed
- Funding partner : Innosuisse (Innovationsprojekt / Projekt Nr. 30914.1 IP-ICT)
- Project partner : RepRisk AG
Description
The project implements an online service for companies to monitor suppliers for violations of environmental, social, or governance norms. To do so, a vast variety of sources, such as news outlets, is monitored using machine learning and natural language processing with near human-level accuracy.
Publications
-
Aghaebrahimian, Ahmad; Cieliebak, Mark,
2020.
Named entity disambiguation at scale [paper].
In:
Schilling, Frank-Peter; Stadelmann, Thilo, eds.,
Artificial Neural Networks in Pattern Recognition.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Cham:
Springer.
pp. 102-110.
Lecture Notes in Computer Science ; 12294.
Available from: https://doi.org/10.1007/978-3-030-58309-5_8