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EMNLP
2006
14 years 11 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
CPC
2006
93views more  CPC 2006»
14 years 9 months ago
Generating Outerplanar Graphs Uniformly at Random
We show how to generate labeled and unlabeled outerplanar graphs with n vertices uniformly at random in polynomial time in n. To generate labeled outerplanar graphs, we present a c...
Manuel Bodirsky, Mihyun Kang
ENASE
2010
121views Hardware» more  ENASE 2010»
14 years 4 months ago
Generation Mechanisms in Graphical Template Language
Textual models in MDD typically are generated in their concrete syntax using a template based language. On the contrary, graphical models as a generated in abstract syntax and then...
Elina Kalnina, Audris Kalnins, Edgars Celms, Agris...
EMNLP
2008
14 years 11 months ago
A Generative Model for Parsing Natural Language to Meaning Representations
In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemo...
CATS
2006
14 years 11 months ago
Combinatorial Generation by Fusing Loopless Algorithms
Some combinatorial generation problems can be broken into subproblems for which loopless algorithms already exist. We discuss means by which loopless algorithms can be fused to pr...
Tadao Takaoka, Stephen Violich