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

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

DSMM@SIGMOD（2017）

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摘要

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.

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