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Natural Language Grammar Induction using a Constituent-Context Model
Natural Language Grammar Induction Constituent
2015/6/12
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according to generative PCFG m...
A Generative Constituent-Context Model for Improved Grammar Induction
Generative Constituent Context Model Grammar Induction
2015/6/12
We present a generative distributional model for the unsupervised induction of natural language syntax which explicitly models constituent yields and contexts. Parameter search with EM produces higher...