US Patent:
20180082183, Mar 22, 2018
Inventors:
- Baar, CH
Mans Olof-Ors - Luzern, CH
Enav Weinreb - Petah Tikva, IL
Oren Hazai - Tel Aviv, IL
Geoff Horrell - London, GB
Yael Lindman - Shoham, IL
Yoni Mataraso - New Hyde Park NY, US
Phani Nivarthi - West New York NJ, US
Assignee:
Thomson Reuters Global Resources - Baar
International Classification:
G06N 5/00
G06N 99/00
G06N 5/02
G06K 9/62
G06F 17/30
Abstract:
Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.