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Professional Information
Publications:
My research interests center around the development, application, and evaluation of
text mining and classification techniques and tools for biomedical researchers.
Here are some recent papers I have published in this area:
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Cohen AM, Hersh W. A Survey of Current Work in Biomedical Text Mining.
Briefings in Bioinformatics 2005;6(1):57-71. [pdf]
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Cohen AM, Hersh WR, Dubay C, Spackman K. Using co-occurrence network
structure to extract synonymous gene and protein names from MEDLINE abstracts.
BMC Bioinformatics 2005;6(103). [pdf]
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Cohen AM,
Hersh WR, Bhupatiraju RT. Feature generation, feature selection, classifiers,
and conceptual drift for biomedical document triage. In: Proceedings of the
Text Retrieval Conference (TREC) 2004; Gaithersburg, MD. [pdf]
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Cohen AM. Unsupervised gene/protein entity normalization using
automatically extracted dictionaries. In: Linking Biological Literature,
Ontologies and Databases: Mining Biological Semantics, Proceedings of the
BioLINK2005 Workshop; Detroit, MI: Association for Computational
Linguistics; 2005. p. 17-24. [pdf]
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Cohen AM, Yang J, Hersh WR. A Comparison of Techniques for
Classification and Ad Hoc Retrieval of Biomedical Documents. In: Proceedings
of the Fourteenth Annual Text REtrieval Conference, TREC 2005, Gaithersburg,
MD. [pdf]
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Cohen AM, Hersh WR, Peterson K, Yen PY. Reducing Workload in Systematic
Review Preparation Using Automated Citation Classification. JAMIA
2006;13(2):206-219. [pdf]
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Cohen AM. An Effective General Purpose Approach for Automated
Biomedical Document Classification. In: Proceedings of the American Medical
Informatics Association (AMIA) 2006 Annual Symposium; 2006. [pdf]
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Cohen AM. Five-way
Smoking Status Classification using Text Hot-spot Identification and
Error-Correcting Output Codes. J Am Med Inform Assoc, 2007. [pdf]
[pdf of full paper and data supplement]
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Cohen AM. Optimizing feature representation for automated systematic
review work prioritization. AMIA Annu Symp Proc 2008:121-5. [pdf]
Curriculum Vitae:
Data Sets:
Software:
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