Biomedical text summarisation using concept chains
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Updated: Jul 6, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
Lawrence H Reeve1, Hyoil Han, Ari D Brooks
1College of Information Science and Technology, Drexel University, Philadelphia, PA, USA. lhr24@drexel.edu
Abstract:
BioChainSumm is a biomedical text summariser utilising concept chaining (called BioChain) to link semantically-related concepts within biomedical text together. The BioChain process is adapted from existing lexical chaining approaches which chain semantically-related terms rather than concepts. The BioChain concept chains are used to identify salient candidate sentences which are extracted to produce a summary of the biomedical text. The Unified Medical Language System Metathesaurus and Semantic Network semantic resources identify related biomedical concepts. BioChainSumm is evaluated using the ROUGE system along with several existing, publicly-available summarisers. Our results show BioChain provides a promising methodology for biomedical text summarisation.
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