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» Computational Methods for Intelligent Information Access
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HRI
2006
ACM
15 years 5 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
IUI
2003
ACM
15 years 5 months ago
A model of textual affect sensing using real-world knowledge
This paper presents a novel way for assessing the affective qualities of natural language and a scenario for its use. Previous approaches to textual affect sensing have employed k...
Hugo Liu, Henry Lieberman, Ted Selker
JIDM
2010
160views more  JIDM 2010»
14 years 10 months ago
Evaluation of Conditional Preference Queries
The need for incorporating preference querying in database technology is a very important issue in a variety of applications ranging from e-commerce to personalized search engines....
Fabiola S. F. Pereira, Sandra de Amo
WWW
2007
ACM
16 years 15 days ago
Using Google distance to weight approximate ontology matches
Discovering mappings between concept hierarchies is widely regarded as one of the hardest and most urgent problems facing the Semantic Web. The problem is even harder in domains w...
Risto Gligorov, Warner ten Kate, Zharko Aleksovski...
GIS
2008
ACM
16 years 27 days ago
Charting new ground: modeling user behavior in interactive geovisualization
Geovisualization has traditionally played a critical role in analysis and decision-making, but recent developments have also brought a revolution in widespread online access to ge...
David C. Wilson, Heather Richter Lipford, Erin Car...