https://scholar.dgist.ac.kr/handle/20.500.11750/116 Sun, 05 Apr 2026 16:40:42 GMT 2026-04-05T16:40:42Z https://scholar.dgist.ac.kr/handle/20.500.11750/47777 Title: A BERT-enhanced Graph Neural Network for Knowledge Base Population Author(s): Lim, Heechul; Kim, Min-Soo Abstract: We present BGKBP, a deep-learning algorithm based on BERT, and a graph neural network for knowledge base population (KBP). Our experiments showed that a straightforward application of BERT and GNN on a large knowledge base (e.g., Wikidata) improves KBP quality and outperforms the previous state-of-the-art methods. We developed four techniques to improve the BGKBP's KBP capability: (1) serialization, (2) fine-tuning, (3) node regression, and (4) text augmentation. BGKBP achieved the best F1 scores of 0.723 and 0.495 on entity linking and new entity detection, respectively. We further showed that using text augmentation (BGKBP-TA) achieved the best F1 score of 0.547 on relation linking, which is more difficult than entity linking because of the various representations of some of the relations. © 2023 IEEE. Mon, 13 Feb 2023 15:00:00 GMT https://scholar.dgist.ac.kr/handle/20.500.11750/47777 2023-02-13T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47123 Title: Toward Mission Critical A.I. Systems Author(s): Kim, Min-Soo Wed, 18 Oct 2017 15:00:00 GMT https://scholar.dgist.ac.kr/handle/20.500.11750/47123 2017-10-18T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47102 Title: Big data technology for designing high-quality oligonucleotides without off-target effects Author(s): Kim, Min-Soo Wed, 01 Nov 2017 15:00:00 GMT https://scholar.dgist.ac.kr/handle/20.500.11750/47102 2017-11-01T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/47039 Title: A Distributed and Parallel Graph Processing and Generating Methods for Trillion-scale Graphs Author(s): Kim, Min-Soo Fri, 17 Nov 2017 15:00:00 GMT https://scholar.dgist.ac.kr/handle/20.500.11750/47039 2017-11-17T15:00:00Z