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» Probabilistic Models of Verb-Argument Structure
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COGSCI
2004
148views more  COGSCI 2004»
13 years 10 months ago
Disfluencies, language comprehension, and Tree Adjoining Grammars
Disfluencies include editing terms such as uh and um as well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research...
Fernanda Ferreira, Ellen F. Lau, Karl G. D. Bailey
JMLR
2002
138views more  JMLR 2002»
13 years 10 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ACL
2010
13 years 9 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
ACL
2010
13 years 9 months ago
A Probabilistic Generative Model for an Intermediate Constituency-Dependency Representation
We present a probabilistic model extension to the Tesni`ere Dependency Structure (TDS) framework formulated in (Sangati and Mazza, 2009). This representation incorporates aspects ...
Federico Sangati
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis