@inproceedings{nam-etal-2018-korean,
    title = "A {K}orean Knowledge Extraction System for Enriching a {KB}ox",
    author = "Nam, Sangha  and
      Kim, Eun-kyung  and
      Kim, Jiho  and
      Jung, Yoosung  and
      Han, Kijong  and
      Choi, Key-Sun",
    editor = "Zhao, Dongyan",
    booktitle = "Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/C18-2005/",
    pages = "20--24",
    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."
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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.</abstract>
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%0 Conference Proceedings
%T A Korean Knowledge Extraction System for Enriching a KBox
%A Nam, Sangha
%A Kim, Eun-kyung
%A Kim, Jiho
%A Jung, Yoosung
%A Han, Kijong
%A Choi, Key-Sun
%Y Zhao, Dongyan
%S Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F nam-etal-2018-korean
%X 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.
%U https://aclanthology.org/C18-2005/
%P 20-24
Markdown (Informal)
[A Korean Knowledge Extraction System for Enriching a KBox](https://aclanthology.org/C18-2005/) (Nam et al., COLING 2018)
ACL
- Sangha Nam, Eun-kyung Kim, Jiho Kim, Yoosung Jung, Kijong Han, and Key-Sun Choi. 2018. A Korean Knowledge Extraction System for Enriching a KBox. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 20–24, Santa Fe, New Mexico. Association for Computational Linguistics.