| A method for named entity normalization in biomedical articles: application to diseases and plants H Cho, W Choi, H Lee BMC bioinformatics 18 (1), 451, 2017 | 91 | 2017 |
| HerDing: herb recommendation system to treat diseases using genes and chemicals W Choi, CH Choi, YR Kim, SJ Kim, CS Na, H Lee Database 2016, 2016 | 50 | 2016 |
| Identifying disease-gene associations using a convolutional neural network-based model by embedding a biological knowledge graph with entity descriptions W Choi, H Lee Plos one 16 (10), e0258626, 2021 | 32 | 2021 |
| Inference of biomedical relations among chemicals, genes, diseases, and symptoms using knowledge representation learning HL W choi IEEE access, 2019 | 25 | 2019 |
| A corpus of plant–disease relations in the biomedical domain B Kim, W Choi, H Lee Plos one 14 (8), e0221582, 2019 | 15 | 2019 |
| Building an annotated corpus for automatic metadata extraction from multilingual journal article references W Choi, HM Yoon, MH Hyun, HJ Lee, JW Seol, KD Lee, YJ Yoon, H Kong PloS one 18 (1), e0280637, 2023 | 14 | 2023 |
| A corpus for plant-chemical relationships in the biomedical domain W Choi, B Kim, H Cho, D Lee, H Lee BMC bioinformatics 17 (1), 386, 2016 | 13 | 2016 |
| Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes H Cho, B Kim, W Choi, D Lee, H Lee Scientific data 9 (1), 235, 2022 | 10 | 2022 |
| A text mining approach for identifying herb-chemical relationships from biomedical articles W Choi, H Lee Proceedings of the ACM Ninth International Workshop on Data and Text Mining …, 2015 | 6 | 2015 |
| Annotated open corpus construction and bert-based approach for automatic metadata extraction from korean academic papers H Kong, H Yoon, J Seol, M Hyun, H Lee, S Kim, W Choi IEEE Access 11, 825-838, 2022 | 3 | 2022 |
Hyunju LeeGwangju Institute of Science and TechnologyVerified email at gist.ac.kr
