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» Learning a Generative Model for Structural Representations
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134
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LREC
2008
117views Education» more  LREC 2008»
15 years 3 months ago
Evolutionary Basic Notions for a Thematic Representation of General Knowledge
In the field of Natural Language Processing, in order to work out a thematic representation system of general knowledge, methods relying on thesaurus have been used for about twen...
Alain Joubert, Mathieu Lafourcade
IJAR
2006
89views more  IJAR 2006»
15 years 1 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
ATAL
2009
Springer
15 years 8 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
CVPR
2007
IEEE
16 years 4 months ago
A Multi-Resolution Dynamic Model for Face Aging Simulation
In this paper we present a dynamic model for simulating face aging process. We adopt a high resolution grammatical face model[1] and augment it with age and hair features. This mo...
Jin-Li Suo, Feng Min, Song Chun Zhu, Shiguang Shan...
ACL
2010
14 years 12 months ago
Automatic Generation of Story Highlights
In this paper we present a joint content selection and compression model for single-document summarization. The model operates over a phrase-based representation of the source doc...
Kristian Woodsend, Mirella Lapata