SRDF: Korean Open Information Extraction using Singleton Property

Abstract

In this paper, we propose a new Korean Open Information Extraction system so-called SRDF. The SRDF system has been designed to effectively ex-tract reified triples from Korean natural language texts based on the use of sin-gleton property and other natural language processing techniques such as part-of-speech tagging and chunking. The SRDF system is the Open Information Ex-traction system that enables extracting a multiple number of triples from a single sentence via reification.