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» Learning Expressive Models for Word Sense Disambiguation
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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 5 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
MM
2005
ACM
169views Multimedia» more  MM 2005»
13 years 11 months ago
An ambient intelligence platform for physical play
This paper describes an ambient intelligent prototype known as socio-ec(h)o. socio-ec(h)o explores the design and implementation of a system for sensing and display, user modeling...
Ron Wakkary, Marek Hatala, Robb Lovell, Milena Dro...
ICINCO
2004
102views Robotics» more  ICINCO 2004»
13 years 6 months ago
Toward Machines with Emotional Intelligence
For half a century, artificial intelligence researchers have focused on giving machines linguistic and mathematical-logical reasoning abilities, modeled after the classic linguist...
Rosalind W. Picard
JCB
2008
159views more  JCB 2008»
13 years 5 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
ACL
1998
13 years 6 months ago
Growing Semantic Grammars
A critical path in the development of natural language understanding NLU modules lies in the di culty of de ning a mapping from words to semantics: Usually it takes in the order o...
Marsal Gavaldà, Alex Waibel