no code implementations • 15 Jun 2023 • Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, Xiuying Chen, Yifan Yang, Qingyu Chen, Won Kim, Donald C. Comeau, Rezarta Islamaj, Aadit Kapoor, Xin Gao, Zhiyong Lu
In this work, we examine the diverse applications of large language models (LLMs), such as ChatGPT, in biomedicine and health.
no code implementations • 16 Sep 2022 • Robert Leaman, Rezarta Islamaj, Alexis Allot, Qingyu Chen, W. John Wilbur, Zhiyong Lu
A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection.
no code implementations • BioCreative VII Challenge Evaluation Workshop 2021 • Robert Leaman, Rezarta Islamaj, Zhiyong Lu
The BioCreative NLM-Chem track calls for a community effort to fine-tune automated recognition of chemical names in biomedical literature.
no code implementations • 7 Aug 2020 • Lana Yeganova, Rezarta Islamaj, Qingyu Chen, Robert Leaman, Alexis Allot, Chin-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu
In this study we analyze the LitCovid collection, 13, 369 COVID-19 related articles found in PubMed as of May 15th, 2020 with the purpose of examining the landscape of literature and presenting it in a format that facilitates information navigation and understanding.
1 code implementation • 24 Apr 2020 • Rezarta Islamaj, Dongseop Kwon, Sun Kim, Zhiyong Lu
Manually annotated data is key to developing text-mining and information-extraction algorithms.
no code implementations • 4 Dec 2019 • Rezarta Islamaj, Lana Yeganova, Won Kim, Natalie Xie, W. John Wilbur
In this work, we present PDC (probabilistic distributional clustering), a novel algorithm that, given a document collection, computes disjoint term sets representing topics in the collection.