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Artificial Intelligence - Special issue on scientific discovery
Statistical Language Learning
Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Constructing Biological Knowledge Bases by Extracting Information from Text Sources
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Extracting molecular binding relationships from biomedical text
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Knowledge discovery and data mining in biological databases
The Knowledge Engineering Review
Computational complexity and lexical functional grammar
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
Extracting the names of genes and gene products with a hidden Markov model
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Text analysis and knowledge mining system
IBM Systems Journal
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Boosting precision and recall of dictionary-based protein name recognition
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Protein name tagging for biomedical annotation in text
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Extracting statistical data frames from text
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
A robust multilingual portable phrase chunking system
Expert Systems with Applications: An International Journal
Data & Knowledge Engineering
MedTAKMI-CDI: interactive knowledge discovery for clinical decision intelligence
IBM Systems Journal
A method for online analytical processing of text data
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
International Journal of Bioinformatics Research and Applications
The needs and benefits of Text Mining applications on Post-Project Reviews
Computers in Industry
Reconstruction of protein-protein interaction pathways by mining subject-verb-objects intermediates
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
A knowledge-driven approach to biomedical document conceptualization
Artificial Intelligence in Medicine
A text-mining technique for extracting gene-disease associations from the biomedical literature
International Journal of Bioinformatics Research and Applications
Journal of Biomedical Informatics
Detecting invalid dictionary entries for biomedical text mining
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
Text Mining in Bioinformatics: Research and Application
International Journal of Information Retrieval Research
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This paper describes the application of IBM TAKMI® for Biomedical Documents to facilitate knowledge discovery from the very large text databases characteristic of life science and healthcare applications. This set of tools, designated MedTAKMI, is an extension of the TAKMI (Text Analysis and Knowledge MIning) system originally developed for text mining in customer-relationship-management applications. MedTAKMI dynamically and interactively mines a collection of documents to obtain characteristic features within them. By using multifaceted mining of these documents together with biomedically motivated categories for term extraction and a series of drill-down queries, users can obtain knowledge about a specific topic after seeing only a few key documents. In addition, the use of natural language techniques makes it possible to extract deeper relationships among biomedical concepts. The MedTAKMI system is capable of mining the entire MEDLINE® database of 11 million biomedical journal abstracts. It is currently running at a customer site.