Part 4/13:
To support these platforms, Elare invested in sophisticated NLP pipelines designed to extract relationships between entities, such as proteins or diseases. By processing scientific sentences and applying relation classification models, they build comprehensive knowledge graphs that underpin multiple applications.
They improved recall rates by over 60%, processing millions of abstracts, clinical trials, and full-text documents efficiently. These pipelines are modular, scalable, and API-accessible, allowing easy updates and experimentation.