ONER: Tool for organization named entity recognition from affiliation strings in pubmed abstracts

3rd International Symposium on Languages in Biology and Medicine, LBM 2009

Volumn , Issue , 2009, Pages 129-131

  Jonnalagadda, Siddhartha ^a,b   Topham, Philip ^a   Gonzalez, Graciela ^b  

^a Lnx Research LLC   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL RESEARCH; CENTERS OF EXCELLENCE; FUNDING AGENCIES; GOVERNMENT AGENCIES; MULTIPLE DICTIONARIES; NAMED ENTITY RECOGNITION; PHARMACEUTICAL MARKETING; POTENTIAL RESOURCES;

MEDICINE;

EID: 85092242597     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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4. W. Yu, et al., "An automatic method to generate domain-specific investigator networks using PubMed abstracts," BMC Med. Inform. Decis. Mak., 2007.
5. Brunstein Ada, "Annotation Guidelines For Answer Types," http://www.ldc.upenn.edu/catalog/docs/ldc2005T33/BBN-Types-Subtypes.Html, 2002.
6. Sekine, "Sekine's extended named entity hierarchy," http://nlp.cs.nyu.edu/ene, 2007.
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9. R. Leaman and G. Gonzalez, "BANNER: An executable survey of advances in biomedical named entity recognition," in Pac Symp Biocomput, 2008.