| Fine-grained contrastive learning for relation extraction W Hogan, J Li, J Shang EMNLP 2022, 2022 | 13 | 2022 |
| Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction WP Hogan, M Huang, Y Katsis, T Baldwin, HC Kim, Y Baeza, A Bartko, ... 3rd Conference on Automated Knowledge Base Construction, 2021 | 10 | 2021 |
| DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase D Li, Y Li, D Mekala, S Li, X Wang, W Hogan, J Shang arXiv preprint arXiv:2311.03319, 2023 | 6 | 2023 |
| An overview of distant supervision for relation extraction with a focus on denoising and pre-training methods W Hogan arXiv preprint arXiv:2207.08286, 2022 | 6 | 2022 |
| Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting W Hogan, J Li, J Shang EMNLP 2023, 16, 2023 | 5 | 2023 |
| BLAR: Biomedical Local Acronym Resolver W Hogan, YV Baeza, Y Katsis, T Baldwin, HC Kim, C Hsu ACL, Proceedings of the 20th Workshop on Biomedical Language Processing, 126-130, 2021 | 4 | 2021 |
| READ: Improving Relation Extraction from an ADversarial Perspective D Li, W Hogan, J Shang arXiv preprint arXiv:2404.02931, 2024 | 1 | 2024 |
| MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction W Hogan, A Bartko, J Shang, C Hsu Proceedings of the 23rd Workshop on Biomedical Natural Language Processing …, 2024 | | 2024 |
| Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction W Hogan, J Shang arXiv preprint arXiv:2406.00226, 2024 | | 2024 |
| Normalization of Predominant and Long-tail Bacterial Entities with a Hybrid CNN-LSTM and Knowledge-Driven Model W Hogan, R Mehta, Y Vazquez-Baeza, Y Katsis, HC Kim, CN Hsu AKBC, Proceedings of the SciNLP Workshop: Natural Language Processing and …, 2020 | | 2020 |
Jingbo ShangAssociate Professor, UC San DiegoVerified email at ucsd.edu
