• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Korean Contextual Information Extraction System using BERT and Knowledge Graph


SoYeop Yoo, OkRan Jeong, Journal of Internet Computing and Services, Vol. 21, No. 3, pp. 123-131, Jun. 2020
10.7472/jksii.2020.21.3.123, Full Text:
Keywords: contextual information extraction, person extraction, Relation Extraction, sentiment extraction, BERT, Knowledge Graph

Abstract

Along with the rapid development of artificial intelligence technology, natural language processing, which deals with human language, is also actively studied. In particular, BERT, a language model recently proposed by Google, has been performing well in many areas of natural language processing by providing pre-trained model using a large number of corpus. Although BERT supports multilingual model, we should use the pre-trained model using large amounts of Korean corpus because there are limitations when we apply the original pre-trained BERT model directly to Korean. Also, text contains not only vocabulary, grammar, but contextual meanings such as the relation between the front and the rear, and situation. In the existing natural language processing field, research has been conducted mainly on vocabulary or grammatical meaning. Accurate identification of contextual information embedded in text plays an important role in understanding context. Knowledge graphs, which are linked using the relationship of words, have the advantage of being able to learn context easily from computer. In this paper, we propose a system to extract Korean contextual information using pre-trained BERT model with Korean language corpus and knowledge graph. We build models that can extract person, relationship, emotion, space, and time information that is important in the text and validate the proposed system through experiments.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[APA Style]
SoYeop Yoo and OkRan Jeong (2020). Korean Contextual Information Extraction System using BERT and Knowledge Graph. Journal of Internet Computing and Services, 21(3), 123-131. DOI: 10.7472/jksii.2020.21.3.123.

[IEEE Style]
S. Yoo and O. Jeong, "Korean Contextual Information Extraction System using BERT and Knowledge Graph," Journal of Internet Computing and Services, vol. 21, no. 3, pp. 123-131, 2020. DOI: 10.7472/jksii.2020.21.3.123.

[ACM Style]
SoYeop Yoo and OkRan Jeong. 2020. Korean Contextual Information Extraction System using BERT and Knowledge Graph. Journal of Internet Computing and Services, 21, 3, (2020), 123-131. DOI: 10.7472/jksii.2020.21.3.123.