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MACHINE LEARNING-BASED RELATIONSHIP ASSOCIATION AND RELATED DISCOVERY AND SEARCH ENGINES
专利权人:
Thomson Reuters Global Resources
发明人:
Hertz Shai,Olof-Ors Mans,Weinreb Enav,Hazai Oren,Horrell Geoff,Lindman Yael,Mataraso Yoni,Nivarthi Phani
申请号:
US201715609800
公开号:
US2018082183(A1)
申请日:
2017.05.31
申请国别(地区):
美国
年份:
2018
代理人:
摘要:
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.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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