SRDF: Korean Open Information Extraction using Singleton Property
Sangha Nam, Key Sun Choi, Younggyun Hahm, Sejin Nam · 2015
In this paper, we propose a new Korean Open Information Extraction system so-called SRDF. The SRDF system has been designed to effectively extract reified triples from Korean natural language texts based on the use of singleton property and other natural language processing techniques such as part-ofspeech tagging and chunking. The SRDF system is the Open Information Extraction system that enables extracting a multiple number of triples from a single sentence via reification.