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» Relation Extraction from Wikipedia Using Subtree Mining
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EMNLP
2009
14 years 7 months ago
Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy databas...
Ichiro Yamada, Kentaro Torisawa, Jun'ichi Kazama, ...
88
Voted
IJCSA
2006
138views more  IJCSA 2006»
14 years 9 months ago
An Integrated System for Cancer-Related Genes Mining from Biomedical Literatures
According to statistics, the rate of having cancer is relatively high for people in developing and developed countries. So cancer can be called as the enemy of human health. With ...
Shih-Nung Chen, Kuo-Cheng Wen
75
Voted
ER
2003
Springer
98views Database» more  ER 2003»
15 years 2 months ago
Extracting Relations from XML Documents
XML is becoming a prevalent format for data exchange. Many XML documents have complex schemas that are not always known, and can vary widely between information sources and applica...
Eugene Agichtein, C. T. Howard Ho, Vanja Josifovsk...
DL
2000
Springer
162views Digital Library» more  DL 2000»
15 years 1 months ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano
COMAD
2008
14 years 11 months ago
Kshitij: A Search and Page Recommendation System for Wikipedia
Semantic information helps in identifying the context of a document. It will be interesting to find out how effectively this information can be used in recommending related docume...
Phanikumar Bhamidipati, Kamalakar Karlapalem