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» Distributional Clustering of English Words
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ACL
2010
13 years 5 months ago
Learning to Follow Navigational Directions
We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...
Adam Vogel, Daniel Jurafsky
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
13 years 11 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
WAPCV
2007
Springer
14 years 1 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
PDPTA
2003
13 years 8 months ago
Subway: Peer-to-Peer Clustering Of Clients for Web Proxy
Many cooperated web cache systems and protocols have been proposed. But, these systems need the expensive resources, such as core-link bandwidth and proxy cpu or storage, and need...
Kyungbaek Kim, Daeyeon Park
ICANN
2010
Springer
13 years 8 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis