A Korean Knowledge Extraction System for Enriching a KBox

Sangha Nam, Eunkyung Kim, Jiho Kim, Yoosung Jung, Kijong Han, Key‐Sun Choi · International Conference on Computational Linguistics · 2018

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.

Read the paper · More papers on PaperTik