Yoosung Jung

Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here

2018

pdf bib
A Korean Knowledge Extraction System for Enriching a KBox
Sangha Nam | Eun-kyung Kim | Jiho Kim | Yoosung Jung | Kijong Han | Key-Sun Choi
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations

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.
Search
Co-authors
Venues
Fix data