BioChain: lexical chaining methods for biomedical text summarization

Lexical chaining is a technique for identifying semanticallyrelated 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 mmary (the paper’s abstr...

• Type: Conference
• Year: 2006
• Where: SAC
• Authors: Lawrence H. Reeve, Hyoil Han, Ari D. Brooks
• Keywords: Applied Computing, Biomedical Text, Concept Chaining, Lexical Chaining, SAC 2006