Refinitiv US Organization LLC

Other

Yael Lindman

Enav Weinreb

Shai Hertz

Oren Hazai

Mans Olof-Ors

Phani Nivarthi

Geoff Horrell

Yehonatan Mataraso

Ofri Rom

Dmitry Levinson

Alexandra Rabinovich Goldshlager

Hila Zarosim

Ehud Azikri

Lior Weintraub

Savva Khalaman

Yossi Ben-Shlomo

Evyatar Sharabi

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.

Machine learning-based relationship association and related discovery and

Systems, technologies and techniques for generating a customized classification model are disclosed. The system and technologies, such as THOMSON REUTERS SELF-SERVICE CLASSIFICATION&#x2122;, employ part machine learning and part an user interactive approach to generate a customized classification model. The system combines a novel approach for text classification using a smaller initial set of data to initiate training, with a unique workflow and user interaction for customization.

Self-service classification system

Machine learning-based relationship association and related discovery and search engines

Growing community of inventors

Shoham, Israel

Yael Lindman