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ADMA
2006
Springer
101views Data Mining» more  ADMA 2006»
14 years 1 months ago
ZED: Explaining Temporal Variations in Query Volume
We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world tha...
Maojin Jiang, Shlomo Argamon, Abdur Chowdhury, Kus...
GEOS
2009
Springer
13 years 12 months ago
Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags
As directories of named places, gazetteers link the names to geographic footprints and place types. Most existing gazetteers are managed strictly top-down: entries can only be adde...
Carsten Keßler, Patrick Maué, Jan Tor...
AAAI
2006
13 years 8 months ago
Mining Comparative Sentences and Relations
This paper studies a text mining problem, comparative sentence mining. A comparative sentence expresses an ordering relation between two sets of entities with respect to some comm...
Nitin Jindal, Bing Liu
CIKM
2008
Springer
13 years 9 months ago
Closing the loop in webpage understanding
The two most important tasks in information extraction from the Web are webpage structure understanding and natural language sentences processing. However, little work has been don...
Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, Ji-R...
CIKM
2011
Springer
12 years 7 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...