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» Graph-based Word Clustering using a Web Search Engine
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HIS
2003
14 years 4 days ago
Evolving Better Stoplists for Document Clustering and Web Intelligence
: Text classification, document clustering and similar document analysis tasks are currently the subject of significant global research, since such areas underpin web intelligence,...
Mark P. Sinka, David Corne
INTR
2010
157views more  INTR 2010»
13 years 9 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
EMNLP
2009
13 years 8 months ago
Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent
Three methods are proposed to classify queries by intent (CQI), e.g., navigational, informational, commercial, etc. Following mixed-initiative dialog systems, search engines shoul...
Emily Pitler, Ken Ward Church
SIGIR
1998
ACM
14 years 3 months ago
Web Document Clustering: A Feasibility Demonstration
Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document cluste...
Oren Zamir, Oren Etzioni
WWW
2008
ACM
14 years 11 months ago
Which "Apple" are you talking about ?
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Mandar Rahurkar, Dan Roth, Thomas S. Huang