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» An Algorithm for Knowledge Base Extraction
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COMPUTER
2000
180views more  COMPUTER 2000»
15 years 6 months ago
The Challenges of Automatic Summarization
tion--the art of abstracting key content from one or more information sources--has become an integral part of everyday life. People keep abreast of world affairs by listening to ne...
Udo Hahn, Inderjeet Mani
CATE
2004
190views Education» more  CATE 2004»
15 years 8 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
CIKM
2010
Springer
15 years 4 months ago
Manifold ranking with sink points for update summarization
Update summarization aims to create a summary over a topic-related multi-document dataset based on the assumption that the user has already read a set of earlier documents of the ...
Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng
COLING
2010
15 years 1 months ago
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
Son Doan, Hua Xu
BMCBI
2007
128views more  BMCBI 2007»
15 years 6 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini