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CIKM
2009
Springer
16 years 1 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
LREC
2008
174views Education» more  LREC 2008»
15 years 8 months ago
UnsuParse: unsupervised Parsing with unsupervised Part of Speech Tagging
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, we generate syntactic parses of sentences in an entirely unsupervised and self-...
Christian Hänig, Stefan Bordag, Uwe Quasthoff
GRC
2010
IEEE
15 years 6 months ago
Geo-clustering of Images with Missing GeoTags
—Images with GPS coordinates are a rich source of information about a geographic location. Innovative user services and applications are being built using geotagged images taken ...
Vishwakarma Singh, Sharath Venkatesha, Ambuj K. Si...
213
Voted
HT
2006
ACM
16 years 20 days ago
Harvesting social knowledge from folksonomies
Collaborative tagging systems, or folksonomies, have the potential of becoming technological infrastructure to support knowledge management activities in an organization or a soci...
Harris Wu, Mohammad Zubair, Kurt Maly
KES
2010
Springer
15 years 5 months ago
W-kmeans: Clustering News Articles Using WordNet
 Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
Christos Bouras, Vassilis Tsogkas