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Published in:
2015 | OriginalPaper | Chapter
Automatic Indexing of Journal Abstracts with Latent Semantic Analysis
Authors : Joel Robert Adams, Steven Bedrick
Published in: Experimental IR Meets Multilinguality, Multimodality, and Interaction
Publisher: Springer International Publishing
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The BioASQ “Task on Large-Scale Online Biomedical Semantic Indexing” charges participants with assigning semantic tags to biomedical journal abstracts. We present a system that takes as input a biomedical abstract and uses latent semantic analysis to identify similar documents in the MEDLINE database. The system then uses a novel ranking scheme to select a list of MeSH tags from candidates drawn from the most similar documents. Our approach achieved better than baseline performance in both precision and recall.We suggest several possible strategies to improve the system’s performance.