We describe a generative model for non- projective dependency parsing based on a simplified version of a transition system that has recently appeared in the literature. We then develop a dynamic programming parsing algorithm for our model, and derive an inside-outside algorithm that can be used for unsupervised learning of non-projective dependency trees.
Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing
SATTA, GIORGIO
2011
Abstract
We describe a generative model for non- projective dependency parsing based on a simplified version of a transition system that has recently appeared in the literature. We then develop a dynamic programming parsing algorithm for our model, and derive an inside-outside algorithm that can be used for unsupervised learning of non-projective dependency trees.File in questo prodotto:
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