Sciweavers

47 search results - page 3 / 10
» Rutabaga by any other name: extracting biological names
Sort
View
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
14 years 6 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 ...
ACL
2006
13 years 6 months ago
Minority Vote: At-Least-N Voting Improves Recall for Extracting Relations
Several NLP tasks are characterized by asymmetric data where one class label NONE, signifying the absence of any structure (named entity, coreference, relation, etc.) dominates al...
Nanda Kambhatla
BMCBI
2008
96views more  BMCBI 2008»
13 years 5 months ago
Mapping proteins to disease terminologies: from UniProt to MeSH
Background: Although the UniProt KnowledgeBase is not a medical-oriented database, it contains information on more than 2,000 human proteins involved in pathologies. However, thes...
Anaïs Mottaz, Yum Lina Yip, Patrick Ruch, Ann...
BMCBI
2010
149views more  BMCBI 2010»
13 years 5 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
BMCBI
2005
87views more  BMCBI 2005»
13 years 5 months ago
BioCreAtIvE Task 1A: gene mention finding evaluation
Background: The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on...
Alexander S. Yeh, Alexander A. Morgan, Marc E. Col...