D Baviskar, S Ahirrao, V Potdar, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
The unstructured data impacts 95% of the organizations and costs them millions of dollars annually. If managed well, it can significantly improve business productivity. The traditional …
Every so often, a confluence of novel technologies emerges that radically transforms every aspect of the industry, the global economy, and finally, the way we live. These sharp leaps of …
Large language models (LLMs) have demonstrated remarkable generalizability, such as understanding arbitrary entities and relations. Instruction tuning has proven effective for …
S Raza, B Schwartz - Scientific Reports, 2023 - nature.com
The ability to extract critical information about an infectious disease in a timely manner is critical for population health research. The lack of procedures for mining large amounts of …
Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is …
Background Despite significant advancements in biomedical named entity recognition methods, the clinical application of these systems continues to face many challenges:(1) …
Motivation: The scientific literature embeds an enormous amount of relational knowledge, encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
S Raza, B Schwartz - BMC Medical Informatics and Decision Making, 2023 - Springer
Background Extracting relevant information about infectious diseases is an essential task. However, a significant obstacle in supporting public health research is the lack of methods …
Easy access to multi‐taxa information (eg distribution, traits, diet) in the scientific literature is essential to understand, map and predict all‐inclusive biodiversity. Tools are needed to …