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» A Machine Learning Approach to Information Extraction
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FTDB
2008
82views more  FTDB 2008»
13 years 7 months ago
Information Extraction
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of str...
Sunita Sarawagi
CCE
2005
13 years 7 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
ADBIS
2003
Springer
127views Database» more  ADBIS 2003»
14 years 26 days ago
Using Common Schemas for Information Extraction from Heterogeneous Web Catalogs
The Web has become the world’s largest information source. Unfortunately, the main success factor of the Web, the inherent principle of distribution and autonomy of the participa...
Richard Vlach, Wassili Kazakos
ECML
2005
Springer
14 years 1 months ago
Multi-view Discriminative Sequential Learning
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
Ulf Brefeld, Christoph Büscher, Tobias Scheff...
MLDM
1999
Springer
13 years 12 months ago
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
Irwin King, Tak-Kan Lau