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» Self-Training for Biomedical Parsing
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EMNLP
2008
13 years 8 months ago
Adapting a Lexicalized-Grammar Parser to Contrasting Domains
Most state-of-the-art wide-coverage parsers are trained on newspaper text and suffer a loss of accuracy in other domains, making parser adaptation a pressing issue. In this paper ...
Laura Rimell, Stephen Clark
CIKM
2006
Springer
13 years 11 months ago
Concept frequency distribution in biomedical text summarization
Text summarization is a data reduction process. The use of text summarization enables users to reduce the amount of text that must be read while still assimilating the core inform...
Lawrence H. Reeve, Hyoil Han, Saya V. Nagori, Jona...
ENGL
2006
157views more  ENGL 2006»
13 years 7 months ago
Dealing with Acronyms in Biomedical Texts
Recently, there has been a growth in the amount of machine readable information pertaining to the biomedical field. With this growth comes a desire to be able to extract informati...
David B. Bracewell, Fuji Ren, Shingo Kuroiwa
CIDM
2007
IEEE
13 years 11 months ago
Identifying Anatomical Phrases in Clinical Reports by Shallow Semantic Parsing Methods
Natural Language Processing (NLP) is being applied for several information extraction tasks in the biomedical domain. The unique nature of clinical information requires the need fo...
Vijayaraghavan Bashyam, Ricky K. Taira
IJDAR
2010
110views more  IJDAR 2010»
13 years 5 months ago
Locating and parsing bibliographic references in HTML medical articles
The set of references that typically appear toward the end of journal articles is sometimes, though not always, a field in bibliographic (citation) databases. But even if referenc...
Jie Zou, Daniel X. Le, George R. Thoma