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EMNLP
2007
15 years 6 months ago
A Constraint Satisfaction Approach to Dependency Parsing
We present an adaptation of constraint satisfaction inference (Canisius et al., 2006b) for predicting dependency trees. Three different classifiers are trained to predict weighte...
Sander Canisius, Erik Tjong Kim Sang
AAAI
2006
15 years 6 months ago
Bayesian Network Based Reparameterization of Haar-like Feature
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
Hirotaka Niitsuma
AAAI
2006
15 years 6 months ago
How to Put the Pieces of AI Together Again
Since the 1970s AI as a science has progressively fragmented into many activities that are very narrowly focused. It is not clear that work done within these fragments can be comb...
Aaron Sloman
AAAI
2006
15 years 6 months ago
A Characterization of Interventional Distributions in Semi-Markovian Causal Models
We offer a complete characterization of the set of distributions that could be induced by local interventions on variables governed by a causal Bayesian network of unknown structu...
Jin Tian, Changsung Kang, Judea Pearl
ACL
2006
15 years 6 months ago
Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
In this paper we investigate the benefit of stochastic predictor components for the parsing quality which can be obtained with a rule-based dependency grammar. By including a chun...
Kilian A. Foth, Wolfgang Menzel