Automated Extraction and Analysis of Argumentative Structures in Medical Literature

Argument mining can help structure unstructured medical textual data by identifying argumentative components and their relations. This work investigates effective crosslingual transfer techniques to perform argument mining in medical texts for a target language (Spanish) when no annotated data is available, demonstrating the superiority of data-transfer over model-transfer approaches.