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» Multi-class Named Entities Extraction from Biomedical Litera...
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ACL
2008
13 years 9 months ago
Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords
Since facts or statements in a hedge or negated context typically appear as false positives, the proper handling of these language phenomena is of great importance in biomedical t...
György Szarvas
BMCBI
2008
85views more  BMCBI 2008»
13 years 7 months ago
Normalizing biomedical terms by minimizing ambiguity and variability
Background: One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential varia...
Yoshimasa Tsuruoka, John McNaught, Sophia Ananiado...
WWW
2009
ACM
14 years 8 months ago
Exploiting web search to generate synonyms for entities
Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to thes...
Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
BMCBI
2008
158views more  BMCBI 2008»
13 years 7 months ago
Discovering gene annotations in biomedical text databases
Currently, most of the discovered biological and biomedical knowledge is available as textual data in scientific papers. And, locating and curating information about a genomic enti...
Ali Cakmak, Gultekin Özsoyoglu
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
14 years 8 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...