UMLSmapper

UMLSMapper performs semantic annotation of biomedical literature to enable cross-lingual biomedical knowledge mining from under-resourced languages such as Spanish.

Key Features:

• Cross-Lingual Annotation: Supports semantic annotation of biomedical texts across languages with emphasis on Spanish-language documents.
• Linguistic Analysis: Employs linguistic analysis to annotate Spanish texts directly using information retrieval techniques and concept disambiguation.
• Machine Translation-Based Annotation: Utilizes Spanish-English machine translation to annotate English documents and transfer annotations back to the original Spanish text.
• Combined Approach: Integrates linguistic analysis and machine translation-based annotation into a hybrid system that demonstrates improved performance over individual methods.
• Information Retrieval: Applies information retrieval techniques as part of the annotation process.
• Concept Disambiguation: Uses concept disambiguation to resolve ambiguous biomedical concepts during annotation.
• Annotation Transfer: Transfers annotations produced on translated English documents back to the source Spanish texts.

Scientific Applications:

• Biomedical Knowledge Mining: Enables mining of biomedical knowledge from Spanish-language literature through standardized semantic annotations.
• Access to Non-English Biomedical Knowledge: Facilitates comprehensive access to biomedical knowledge contained in under-resourced Spanish texts for research.
• Multinational Research Support: Supports multinational studies by reducing language barriers in biomedical text annotation and information extraction.

Methodology:

Annotates Spanish texts via linguistic analysis that uses information retrieval techniques and concept disambiguation; employs Spanish-English machine translation to annotate English documents and transfer annotations back to Spanish; evaluates and compares linguistic analysis, machine translation-based annotation, and their combination, demonstrating that the combined system enhances performance.