| Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach S Kim, H Liu, L Yeganova, WJ Wilbur Journal of biomedical informatics 55, 23-30, 2015 | 190 | 2015 |
| Opportunities and challenges for ChatGPT and large language models in biomedicine and health S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ... Briefings in Bioinformatics 25 (1), bbad493, 2024 | 118 | 2024 |
| Author name disambiguation for PubMed W Liu, R Islamaj Doğan, S Kim, DC Comeau, W Kim, L Yeganova, Z Lu, ... Journal of the American Society for Information Science and Technology, 2013 | 103 | 2013 |
| Evolving use of ancestry, ethnicity, and race in genetics research—A survey spanning seven decades YJJ Byeon, R Islamaj, L Yeganova, WJ Wilbur, Z Lu, LC Brody, ... The American Journal of Human Genetics 108 (12), 2215-2223, 2021 | 49 | 2021 |
| Meshable: Searching PubMed Abstracts by Utilizing MeSH and MeSH-Derived Topical Terms S Kim, L Yeganova, WJ Wilbur Bioinformatics, 2016 | 49 | 2016 |
| MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval Q Jin, W Kim, Q Chen, DC Comeau, L Yeganova, WJ Wilbur, Z Lu Bioinformatics 39 (11), btad651, 2023 | 46 | 2023 |
| Findings of the WMT 2020 biomedical translation shared task: Basque, Italian and Russian as new additional languages R Bawden, GM Di Nunzio, C Grozea, IJ Unanue, AJ Yepes, N Mah, ... Fifth Conference on Machine Translation, 658-685, 2020 | 39 | 2020 |
| Identification of related gene/protein names based on an HMM of name variations L Yeganova, L Smith, WJ Wilbur Computational Biology and Chemistry 28 (2), 97-107, 2004 | 30 | 2004 |
| Finding abbreviations in biomedical literature: three BioC-compatible modules and four BioC-formatted corpora R Islamaj Doğan, DC Comeau, L Yeganova, WJ Wilbur Database 2014, bau044, 2014 | 22 | 2014 |
| PubMed Phrases, an open set of coherent phrases for searching biomedical literature S Kim, L Yeganova, DC Comeau, WJ Wilbur, Z Lu Scientific data 5 (1), 1-11, 2018 | 19 | 2018 |
| How to interpret PubMed queries and why it matters L Yeganova, DC Comeau, W Kim, WJ Wilbur Journal of the American Society for Information Science and Technology 60 (2 …, 2009 | 19 | 2009 |
| Findings of the WMT 2021 biomedical translation shared task: Summaries of animal experiments as new test set L Yeganova, D Wiemann, M Neves, F Vezzani, A Siu, IJ Unanue, ... EMNLP 2021-Sixth Conference on Machine Translation., 2021 | 16 | 2021 |
| Text mining techniques for leveraging positively labeled data L Yeganova, DC Comeau, W Kim, WJ Wilbur Proceedings of BioNLP 2011 Workshop, 155-163, 2011 | 16 | 2011 |
| Hidden Markov models and optimized sequence alignments L Smith, L Yeganova, WJ Wilbur Computational Biology and Chemistry 27 (1), 77-84, 2003 | 15 | 2003 |
| Retro: concept-based clustering of biomedical topical sets L Yeganova, W Kim, S Kim, WJ Wilbur Bioinformatics 30 (22), 3240-3248, 2014 | 14 | 2014 |
| Findings of the WMT 2022 biomedical translation shared task: Monolingual clinical case reports M Neves, AJ Yepes, A Siu, R Roller, P Thomas, MV Navarro, L Yeganova, ... WMT22-Seventh Conference on Machine Translation, 694-723, 2022 | 13 | 2022 |
| Machine learning with naturally labeled data for identifying abbreviation definitions L Yeganova, DC Comeau, WJ Wilbur BMC bioinformatics 12, 1-8, 2011 | 13 | 2011 |
| Identifying abbreviation definitions machine learning with naturally labeled data L Yeganova, DC Comeau, WJ Wilbur 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 13 | 2010 |
| Isotonic regression under lipschitz constraint L Yeganova, WJ Wilbur Journal of optimization theory and applications 141 (2), 429-443, 2009 | 13 | 2009 |
| The synergy between PAV and AdaBoost WJ Wilbur, L Yeganova, W Kim Machine Learning 61, 71-103, 2005 | 13 | 2005 |
W John WilburSenior scientist, National Center for Biotechnology Information在 ncbi.nlm.nih.gov 的电子邮件经过验证
