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- W2080593377 abstract "Lexical chaining is a technique for identifying semantically-related terms in text. We propose concept chaining to link semantically-related concepts within biomedical text together. The resulting concept chains are then used to identify candidate sentences useful for extraction. The extracted sentences are used to produce a summary of the biomedical text. The concept chaining process is adapted from existing lexical chaining approaches, which focus on chaining semantically-related terms, rather than semantically-related concepts. The Unified Medical Language System (UMLS) Metathesaurus and Semantic Network are used as semantic resources. The UMLS MetaMap Transfer tool is used to perform text-to-concept mapping. The goal is to propose concept chaining and develop a novel concept chaining system for the biomedical domain using UMLS lexicon and the ideas of lexical chaining. The resulting concept chains from the full-text are evaluated against the concepts of a human summary (the paper's abstract). Precision is measured at 0.90 and recall at 0.92. The resulting concept chains are used to summarize the text. We also evaluate generated summaries using existing summarization systems using sentence matching, and confirm the generated summaries are useful to a domain expert. Our results show that the proposed concept chaining is a promising methodology for biomedical text summarization." @default.
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- W2080593377 date "2006-04-23" @default.
- W2080593377 modified "2023-09-22" @default.
- W2080593377 title "BioChain" @default.
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- W2080593377 doi "https://doi.org/10.1145/1141277.1141317" @default.
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