AuSuM – Automatic Supply Chain Monitoring
Auf einen Blick
- Projektleiter/in : Dr. Mark Cieliebak
- Stellv. Projektleiter/in : Dr. Ahmad Aghaebrahimian
- Projektvolumen : CHF 800'000
- Projektstatus : abgeschlossen
- Drittmittelgeber : Innosuisse (Innovationsprojekt / Projekt Nr. 30914.1 IP-ICT)
- Projektpartner : RepRisk AG
Beschreibung
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.
Publikationen
-
Aghaebrahimian, Ahmad; Cieliebak, Mark,
2020.
Named entity disambiguation at scale [Paper].
In:
Schilling, Frank-Peter; Stadelmann, Thilo, Hrsg.,
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.
S. 102-110.
Lecture Notes in Computer Science ; 12294.
Verfügbar unter: https://doi.org/10.1007/978-3-030-58309-5_8