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» Word Importance Discrimination Using Context Information
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HRI
2006
ACM
15 years 3 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
CG
2007
Springer
14 years 9 months ago
Semantic lenses: Seamless augmentation of web pages with context information from implicit queries
We propose a novel method to support analytical processes by visually integrating context information directly into web pages. The context information is obtained from knowledge b...
Martin Rotard, Mark Giereth, Thomas Ertl
NAACL
2010
14 years 7 months ago
Learning Words and Their Meanings from Unsegmented Child-directed Speech
Most work on language acquisition treats word segmentation--the identification of linguistic segments from continuous speech-and word learning--the mapping of those segments to me...
Bevan K. Jones, Mark Johnson, Michael C. Frank
LREC
2008
105views Education» more  LREC 2008»
14 years 11 months ago
Local Methods for On-Demand Out-of-Vocabulary Word Retrieval
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
ICPR
2004
IEEE
15 years 10 months ago
A Fast Discriminant Approach to Active Object Recognition and Pose Estimation
This paper presents a new criterion for viewpoint selection in the context of active Bayesian object recognition and pose estimation. Recognition is performed by probabilistically...
Catherine Laporte, Rupert Brooks, Tal Arbel