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IJCAI
2003
13 years 6 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
13 years 11 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
CLEF
2009
Springer
13 years 3 months ago
The University of Amsterdam's Concept Detection System at ImageCLEF 2009
Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of...
Koen E. A. van de Sande, Theo Gevers, Arnold W. M....
JAMIA
2010
116views more  JAMIA 2010»
12 years 12 months ago
Extracting Rx information from clinical narrative
Objective The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of...
James G. Mork, Olivier Bodenreider, Dina Demner-Fu...
WWW
2006
ACM
14 years 5 months ago
Interactive wrapper generation with minimal user effort
While much of the data on the web is unstructured in nature, there is also a significant amount of embedded structured data, such as product information on e-commerce sites or sto...
Utku Irmak, Torsten Suel