Correlated Variable Set
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See: Correlation, Random Variable Set, IID Random Variable Set.
References
2006
- (McDonald et al., 2006) ⇒ Ryan McDonald, Kevin Lerman, and Fernando Pereira. (2006). “Multilingual Dependency Analysis with a Two-stage Discriminative Parser.” In: Proceedings of the Tenth Conference on Computational Natural Language Learning.
- QUOTE: Doing this for each edge in the tree would produce the final output. Such a model could easily be trained using the provided training data for each language. However, it might be advantageous to know the labels of other nearby edges. For instance, if we consider a head [math]\displaystyle{ x_i }[/math] with dependents xj1 , . . . , xjM, it is often the case that many of these dependencies will have correlated labels.