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Your search keyword '"Griffin, Thomas"' showing total 28 results
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28 results on '"Griffin, Thomas"'

10. Neoplasms

Author

Li, Ke-Hua, primary, Griffin, Thomas, additional, Nikbakht, Neda, additional, Qu, Le, additional, Chen, Hong-Duo, additional, He, Chundi, additional, and Xia, Li-Xin, additional

Published
2016
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15. The Almaden distributed digital library system

Author

Choy, David M., primary, Dievendorff, Richard, additional, Dwork, Cynthia, additional, Lotspiech, Jeffrey B., additional, Morris, Robert J. T., additional, Pass, Norman J., additional, Anderson, Laura C., additional, Bell, Alan E., additional, Boyer, Stephen K., additional, Griffin, Thomas D., additional, Hoenig, Bruce A., additional, McCrossin, James M., additional, Miller, Alex M., additional, Pestoni, Florian, additional, and Picciano, Deidra S., additional

Published
1996
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16. Cardiac Neoplasms

Author

Thomas, Charles R., primary, De Vries, Brent, additional, Bitran, Jacob D., additional, and Griffin, Thomas W., additional

Published
1995
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19. Neoplasms.

Author

Li, Ke-Hua, Griffin, Thomas, Nikbakht, Neda, Qu, Le, Chen, Hong-Duo, He, Chundi, and Xia, Li-Xin

Published
2017
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26. Annotating Patents with Medline MeSH Codes via Citation Mapping.

Author

Griffin, Thomas D., Boyer, Stephen K., and Councill, Isaac G.

Abstract

Both patents and Medline are important document collections for discovering new relationships between chemicals and biology, searching for prior art for patent applications and retrieving background knowledge for current research activities. Finding relevance to a topic within patents is often made difficult by poor categorization, badly written descriptions, and even intentional obfuscation. Unlike patents, the Medline corpus has Medical Subject Heading (MeSH) keywords manually added to their articles, giving a medically relevant taxonomy to the 18 million article abstracts. Our work attempts to accurately recognize the citations made in patents to Medline-indexed articles, linking them to their corresponding PubMed ID and exploiting the associated MeSH to enhance patent search by annotating the referencing patents with their Medline citations΄ MeSH codes. The techniques, system features, and benefits are explained. [ABSTRACT FROM AUTHOR]

Published
2011
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27. ChemBrowser: A Flexible Framework for Mining Chemical Documents.

Author

Wu, Xian, Zhang, Li, Chen, Ying, Rhodes, James, Griffin, Thomas D., Boyer, Stephen K., Alba, Alfredo, and Cai, Keke

Abstract

The ability to extract chemical and biological entities and relations from text documents automatically has great value to biochemical research and development activities. The growing maturity of text mining and artificial intelligence technologies shows promise in enabling such automatic chemical entity extraction capabilities (called ˵Chemical Annotation″ in this paper). Many techniques have been reported in the literature, ranging from dictionary and rule-based techniques to machine learning approaches. In practice, we found that no single technique works well in all cases. A combinatorial approach that allows one to quickly compose different annotation techniques together for a given situation is most effective. In this paper, we describe the key challenges we face in real-world chemical annotation scenarios. We then present a solution called ChemBrowser which has a flexible framework for chemical annotation. ChemBrowser includes a suite of customizable processing units that might be utilized in a chemical annotator, a high-level language that describes the composition of various processing units that would form a chemical annotator, and an execution engine that translates the composition language to an actual annotator that can generate annotation results for a given set of documents. We demonstrate the impact of this approach by tailoring an annotator for extracting chemical names from patent documents and show how this annotator can be easily modified with simple configuration alone. [ABSTRACT FROM AUTHOR]

Published
2011
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