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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 8 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»
14 years 1 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 9 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 7 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 9 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