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BMCBI
2005
160views more  BMCBI 2005»
13 years 7 months ago
Data-poor categorization and passage retrieval for Gene Ontology Annotation in Swiss-Prot
Background: In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing...
Frédéric Ehrler, Antoine Geissbü...
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 1 months ago
ViVo: Visual Vocabulary Construction for Mining Biomedical Images
Given a large collection of medical images of several conditions and treatments, how can we succinctly describe the characteristics of each setting? For example, given a large col...
Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mar...
AAAI
2008
13 years 10 months ago
Combining Global Relevance Information with Local Contextual Clues for Event-Oriented Information Extraction
Existing Information Extraction systems tend to focus on a tight window of context surrounding the desired information to be extracted. This leads to a number of shortcomings in t...
Siddharth Patwardhan
COLING
2000
13 years 9 months ago
Automatic Acquisition of Domain Knowledge for Information Extraction
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...
CIKM
2009
Springer
14 years 2 months ago
Identifying interesting assertions from the web
How can we cull the facts we need from the overwhelming mass of information and misinformation that is the Web? The TextRunner extraction engine represents one approach, in which ...
Thomas Lin, Oren Etzioni, James Fogarty