Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Paul Parau
Senior Software Developer, UiPath

Paul Parau is a researcher and technical lead of the Recognos Smart Data Platform. He specializes in image processing, document layout analysis, and data extraction algorithms. Previously, Paul conducted research in the field of network science, with an emphasis on applications in social networks. He is currently focusing his research on brain network analysis.

Sessions

14:05–14:45 Thursday, 24 May 2018
Spark NLP in action: Intelligent, high-accuracy fact extraction from long financial documents
Data science and machine learning, Expo Hall
 Location: Expo Hall Level: Intermediate
Secondary topics:  Financial Services, Text and Language processing and analysis
David Talby (Pacific AI), Saif Addin Ellafi (John Snow Labs), Paul Parau (UiPath)
Average rating: ****.
(4.50, 4 ratings)
Spark NLP natively extends Spark ML to provide natural language understanding capabilities with performance and scale that was not possible to date. David Talby, Saif Addin Ellafi, and Paul Parau explain how Spark NLP was used to augment the Recognos smart data extraction platform in order to automatically infer fuzzy, implied, and complex facts from long financial documents. Read more.