Multimodal learning for temporal relation extraction in clinical texts.
This study focuses on refining temporal relation extraction within medical documents by introducing an innovative bimodal architecture. The overarching goal is to enhance our understanding of narrative processes in the medical domain, particularly through the analysis of extensive reports and notes concerning patient experiences.
Author(s): Knez, Timotej, Žitnik, Slavko
DOI: 10.1093/jamia/ocae059