Advances in Multilingual Terminology Resources and Information Extraction in Medicine
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Biomedical Information and Health".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 20
Special Issue Editors
Interests: terminology; specialized translation; technical communication; ontologies; corpus linguistics; terminology management
Special Issues, Collections and Topics in MDPI journals
Interests: terminology; ontologies; technical communication; corpus linguistics
Interests: medical terminology; frame-based terminology; ontologies; corpus linguistics; healthcare communication
Interests: interactive machine learning; information retrieval; text classification; computational terminology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
High-quality multilingual terminology resources are essential for accurate information management in clinical and biomedical domains, as they provide consistent and precise terminology, which is vital for effective communication and decision-making in these fields. At the same time, the increasing volume of clinical and biomedical texts offers valuable opportunities to extract structured domain-specific knowledge using natural language processing (NLP) techniques such as named entity recognition (NER) and relation extraction (RE).
This Special Issue focuses on the dynamic interplay between terminology management and information extraction in multilingual clinical and biomedical contexts. We invite contributions that examine how existing terminology resources can enhance the performance of information extraction systems, and how these systems, in turn, can support the identification, validation, and expansion of (bio)medical terminologies.
By bringing together perspectives from different disciplines, this Special Issue seeks to advance the theoretical framework, methodological approaches, and practical applications at the intersection of terminology and information extraction. Contributions may address challenges in processing multilingual medical data, propose innovative tools or workflows, or present evaluation results from real-world implementations. We particularly welcome studies from the fields of computational terminology, (bio)medical informatics, information retrieval, natural language processing, knowledge representation, and corpus linguistics.
Dr. Federica Vezzani
Dr. Sara Carvalho
Dr. Maria-Cornelia Wermuth
Dr. Giorgio Maria Di Nunzio
Guest Editors
Manuscript Submission Information
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Keywords
- multilingual terminology resources
- terminology management
- information extraction
- natural language processing
- named entity recognition
- relation extraction
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