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» Extracting Named Entities and Synonyms from Wikipedia
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SIGIR
2009
ACM
14 years 2 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
LREC
2010
177views Education» more  LREC 2010»
13 years 9 months ago
Automatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country")...
Zareen Syed, Evelyne Viegas, Savas Parastatidis
CIKM
2009
Springer
14 years 2 months ago
MagicCube: choosing the best snippet for each aspect of an entity
Wikis are currently used in business to provide knowledge management systems, especially for individual organizations. However, building wikis manually is a laborious and time-con...
Yexin Wang, Li Zhao, Yan Zhang
GISCIENCE
2010
Springer
192views GIS» more  GISCIENCE 2010»
13 years 8 months ago
Automatic Extraction of Destinations, Origins and Route Parts from Human Generated Route Directions
Researchers from the cognitive and spatial sciences are studying text descriptions of movement patterns in order to examine how humans communicate and understand spatial informatio...
Xiao Zhang, Prasenjit Mitra, Alexander Klippel, Al...
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