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BIB
2007
114views more  BIB 2007»
11 years 11 months ago
Frontiers of biomedical text mining: current progress
It is now almost15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. En...
Pierre Zweigenbaum, Dina Demner-Fushman, Hong Yu, ...
BMCBI
2005
151views more  BMCBI 2005»
11 years 11 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
IR
2007
11 years 11 months ago
An empirical study of tokenization strategies for biomedical information retrieval
Due to the great variation of biological names in biomedical text, appropriate tokenization is an important preprocessing step for biomedical information retrieval. Despite its im...
Jing Jiang, ChengXiang Zhai
BMCBI
2006
128views more  BMCBI 2006»
11 years 12 months ago
New directions in biomedical text annotation: definitions, guidelines and corpus construction
Background: While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step tow...
W. John Wilbur, Andrey Rzhetsky, Hagit Shatkay
BMCBI
2006
154views more  BMCBI 2006»
11 years 12 months ago
Automated recognition of malignancy mentions in biomedical literature
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. ...
SAC
2006
ACM
12 years 5 months ago
BioChain: lexical chaining methods for biomedical text summarization
Lexical chaining is a technique for identifying semanticallyrelated terms in text. We propose concept chaining to link semantically-related concepts within biomedical text togethe...
Lawrence H. Reeve, Hyoil Han, Ari D. Brooks
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