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ACL
2009
15 years 4 months ago
Updating a Name Tagger Using Contemporary Unlabeled Data
For many NLP tasks, including named entity tagging, semi-supervised learning has been proposed as a reasonable alternative to methods that require annotating large amounts of trai...
Cristina Mota, Ralph Grishman
EDBT
2010
ACM
182views Database» more  EDBT 2010»
15 years 10 months ago
BIAEditor: matching process and operational data for a business impact analysis
A profound analysis of all relevant business data in the company is necessary for optimizing business processes effectively. Current analyses typically exclusively run on business...
Sylvia Radeschütz, Florian Niedermann, Wolfga...
ESOP
2008
Springer
15 years 8 months ago
Semi-persistent Data Structures
A data structure is said to be persistent when any update operation returns a new structure without altering the old version. This paper introduces a new notion of persistence, cal...
Sylvain Conchon, Jean-Christophe Filliâtre
IJDMB
2006
125views more  IJDMB 2006»
15 years 6 months ago
Bi-level clustering of mixed categorical and numerical biomedical data
: Biomedical data sets often have mixed categorical and numerical types, where the former represent semantic information on the objects and the latter represent experimental result...
Bill Andreopoulos, Aijun An, Xiaogang Wang
CBMS
2009
IEEE
16 years 1 months ago
Ontology driven data integration for autism research
Autism Spectrum Disorder is an inherently complex phenomenon requiring large studies of many different types to further understanding of its causes. The National Database for Auti...
Lynn Young, Samson W. Tu, Lakshika Tennakoon, Davi...