A Korean Knowledge Extraction System for Enriching a KBox
2018-08-01COLING 2018Code Available0· sign in to hype
Sangha Nam, Eun-Kyung Kim, Jiho Kim, Yoosung Jung, Kijong Han, Key-Sun Choi
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Abstract
The increased demand for structured knowledge has created considerable interest in knowledge extraction from natural language sentences. This study presents a new Korean knowledge extraction system and web interface for enriching a KBox knowledge base that expands based on the Korean DBpedia. The aim is to create an endpoint where knowledge can be extracted and added to KBox anytime and anywhere.