Exploring Diachronic Changes of Biomedical Knowledge Using Distributed Concept Representations

    January 2019
    Gaurav Vashisth, Jan‐Niklas Voigt‐Antons, Michael Mikhailov, Roland Roller
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    TLDR The document concluded that biomedical knowledge changes over time and the study evaluated a new method to track these changes.
    The document "Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations" from 2019 focused on the evolution of biomedical knowledge over time, acknowledging that best practices and facts can become outdated or even proven false as new discoveries are made and novel methods are implemented. The authors used Natural Language Processing methods to extract information from text, specifically focusing on detecting entities and their relationships. However, unlike most studies, this work also considered the aspect of knowledge that changes over time, exploring the use of temporal and distributional concept representations. The effectiveness of this approach was evaluated through a proof-of-concept.
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