Abstracts
of Key Research Articles
Recent methodological aspects
Kim JD, Ohta T and Tsujii J. Corpus annotation for mining biomedical events from literature. BMC Bioinformatics. 2008; 9: 10
Baud RH, Ceusters W, Ruch P, Rassinoux AM, Lovis C and Geissbühler A. Reconciliation of ontology and terminology to cope with linguistics. Medinfo. 2007; 12: 796–801
Bundschus M, Dejori M, Stetter M, Tresp V and Kriegel HP. Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinformatics. 2008; 9: 207
Rassinoux AM, Baud RH, Rodrigues JM, Lovis C and Geissbühler A. Coupling ontology driven semantic representation with multilingual natural language generation for tuning international terminologies. Medinfo. 2007; 12: 555–559
Recent Tool descriptions
Hoffmann R. Using the iHOP information resource to mine the biomedical literature on genes, proteins, and chemical compounds. Curr Protoc Bioinformatics. 2007; Chapter 1: Unit 1.16
Rebholz-Schuhmann D, Kirsch H, Arregui M, Gaudan S, Riethoven M and Stoehr P. EBIMed--text crunching to gather facts for proteins from Medline. Bioinformatics. 2007; 23: e237–244
Ide NC, Loane RF and Demner-Fushman D. Essie: a concept-based search engine for structured biomedical text. J Am Med Inform Assoc. 2007; 14: 253–263
Baumgartner WA, Cohen KB and Hunter L. An open-source framework for large-scale, flexible evaluation of biomedical text mining systems. Journal of Biomedical Discovery and Collaboration. 2008; 3: 1
Some recent perspectives on Text Mining application
Aerts S, Haeussler M, van Vooren S, Griffith OL, Hulpiau P, Jones SJ, Montgomery SB and Bergman CM; Open Regulatory Annotation Consortium. Text-mining assisted regulatory annotation. Genome Biol. 2008; 9: R31
Rhodes J, Boyer S, Kreulen J, Chen Y and Ordonez P. Mining patents using molecular similarity searches. Pacific Symposium on Biocomputing. 2007; 12: 304–315
Minguez P, Al-Shahrour F, Montaner D and Dopazo J. Functional profiling of microarray experiments using text-mining derived bioentities. Bioinformatics. 2007; 23: 3098–3099
About the future impact of Text Mining
Peitsch MC. Computer-assisted reading in Drug Discovery. Expert Opin Drug Discov. 2007 ; 2 ; 299–304
Gerstein M, Seringhaus M and Fields S. Structured digital abstract makes text mining easy. Nature. 2007; 447: 142
Hahn U, Wermter J, Blasczyk R and Horn PA. Text mining: powering the database revolution. Nature. 2007; 448: 130 |
