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» Can Document Selection Help Semi-supervised Learning
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JIIS
2002
168views more  JIIS 2002»
15 years 2 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
ACL
2010
15 years 26 days ago
Using Document Level Cross-Event Inference to Improve Event Extraction
Event extraction is a particularly challenging type of information extraction (IE). Most current event extraction systems rely on local information at the phrase or sentence level...
Shasha Liao, Ralph Grishman
TREC
2004
15 years 4 months ago
Experience of Using SVM for the Triage Task in TREC 2004 Genomics Track
This paper reports our knowledge-ignorant machine learning approach to the triage task in TREC2004 genomics track, which is actually a text categorization problem. We applied Supp...
Dell Zhang, Wee Sun Lee
ARTMED
2004
109views more  ARTMED 2004»
15 years 2 months ago
Selection of patients for clinical trials: an interactive web-based system
The purpose of a clinical trial is to evaluate a new treatment procedure. When medical researchers conduct a trial, they recruit participants with appropriate health problems and ...
Eugene Fink, Princeton K. Kokku, Savvas Nikiforou,...
BMCBI
2006
127views more  BMCBI 2006»
15 years 2 months ago
A graph-search framework for associating gene identifiers with documents
Background: One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article. We consider a relaxation ...
William W. Cohen, Einat Minkov