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» Exploiting a Probabilistic Hierarchical Model for Generation
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COLING
2000
13 years 6 months ago
Exploiting a Probabilistic Hierarchical Model for Generation
Previous stochastic approaches to generation do not include a tree-based representation of syntax. While this may be adequate or even advantageous for some applications, other app...
Srinivas Bangalore, Owen Rambow
ATS
1998
IEEE
106views Hardware» more  ATS 1998»
13 years 9 months ago
A Test Pattern Generation Algorithm Exploiting Behavioral Information
This paper aims at broadening the scope of hierarchical ATPG to the behavioral-level The main problem of using behavioral information for ATPG is the mismatch of timing models bet...
Silvia Chiusano, Fulvio Corno, Paolo Prinetto
ICTAI
2006
IEEE
13 years 10 months ago
Hierarchical Language Models for Expert Finding in Enterprise Corpora
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...
Desislava Petkova, W. Bruce Croft
EMNLP
2007
13 years 6 months ago
Exploiting Multi-Word Units in History-Based Probabilistic Generation
We present a simple history-based model for sentence generation from LFG f-structures, which improves on the accuracy of previous models by breaking down PCFG independence assumpt...
Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Jose...
ACL
2010
13 years 2 months ago
PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Mark Johnson