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» Using Random Forests in the Structured Language Model
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AAAI
2011
13 years 9 months ago
Stopping Rules for Randomized Greedy Triangulation Schemes
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
Andrew Gelfand, Kalev Kask, Rina Dechter
TASLP
2008
136views more  TASLP 2008»
14 years 9 months ago
On Acoustic Diversification Front-End for Spoken Language Identification
The parallel phone recognition followed by language model (PPRLM) architecture represents one of the state-of-the-art spoken language identification systems. A PPRLM system compris...
Khe Chai Sim, Haizhou Li
TCS
2002
14 years 9 months ago
Associative language descriptions
The new Associative Language Description (ALD) model, a combination of locally testable and constituent structure ideas, is proposed, arguing that in practice it equals context-fr...
Alessandra Cherubini, Stefano Crespi-Reghizzi, Pie...
HRI
2006
ACM
15 years 3 months ago
Structural descriptions in human-assisted robot visual learning
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper...
Geert-Jan M. Kruijff, John D. Kelleher, Gregor Ber...
NAACL
2010
14 years 7 months ago
Cross-lingual Induction of Selectional Preferences with Bilingual Vector Spaces
We describe a cross-lingual method for the induction of selectional preferences for resourcepoor languages, where no accurate monolingual models are available. The method uses bil...
Yves Peirsman, Sebastian Padó