Semantic Interpretation for the Biomedical Research Literature
نویسندگان
چکیده
Chapter Overview Natural language processing is increasingly used to support biomedical applications that manipulate information rather than documents. Examples include automatic summarization, question answering, and literature-based scientific discovery. Semantic processing is a method of automatic language analysis that identifies concepts and relationships to represent document content. The identification of this information depends on structured knowledge, and in the biomedical domain, one such resource is the Unified Medical Language System. After providing some linguistic background, we discuss several semantic interpretation systems being developed in biomedicine. Finally, we briefly investigate two applications that exploit semantic information in MEDLINE citations; one focuses on automatic summarization and the other is directed at information extraction for molecular biology research.
منابع مشابه
Identifying Risk Factors for Metabolic Syndrome in Biomedical Text
Identifying risk factors and biomarkers for diseases is an important aspect of biomedical research. However, much of the underlying information resides in the research literature and is not available in executable form. We propose a methodology based on automatic semantic interpretation (using SemRep) to capture risk factors and biomarkers for diseases asserted in MEDLINE citations. In this ini...
متن کاملArguments of Nominals in Semantic Interpretation of Biomedical Text
Based on linguistic generalizations, we enhanced an existing semantic processor, SemRep, for effective interpretation of a wide range of patterns used to express arguments of nominalization in clinically oriented biomedical text. Nominalizations are pervasive in the scientific literature, yet few text mining systems adequately address them, thus missing a wealth of information. We evaluated the...
متن کاملInterpreting comparative constructions in biomedical text
We propose a methodology using underspecified semantic interpretation to process comparative constructions in MEDLINE citations, concentrating on two structures that are prevalent in the research literature reporting on clinical trials for drug therapies. The method exploits an existing semantic processor, SemRep, which constructs predications based on the Unified Medical Language System. Resul...
متن کاملThe interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text
Interpretation of semantic propositions in free-text documents such as MEDLINE citations would provide valuable support for biomedical applications, and several approaches to semantic interpretation are being pursued in the biomedical informatics community. In this paper, we describe a methodology for interpreting linguistic structures that encode hypernymic propositions, in which a more specif...
متن کاملConcept-Graph Based Biomedical Automatic Summarization Using Ontologies
One of the main problems in research on automatic summarization is the inaccurate semantic interpretation of the source. Using specific domain knowledge can considerably alleviate the problem. In this paper, we introduce an ontology-based extractive method for summarization. It is based on mapping the text to concepts and representing the document and its sentences as graphs. We have applied ou...
متن کامل