Thomson Reuters' Submission to the FEIII 2017 Challenge Non-scored Tasks

Elizabeth Roman, Brian Ulicny, Yilun Du, Srijith Poduval, Allan Ko

Abstract: In this paper we describe a machine learning approach to predict roles of extracted SEC triples for the non-scored task of the 2017 FEIII Challenge. In addition, we describe a graph and data analysis derived from SEC triples.