BriefGPT.xyz
Jun, 2012
潜在句法树的可识别性和分离
Identifiability and Unmixing of Latent Parse Trees
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Daniel Hsu, Sham M. Kakade, Percy Liang
TL;DR
本文探讨了两个方向上的无监督学习语法模型:其可辨识模型及参数有效估计以及处理对句子进行分析的拓扑结构的未混合策略。
Abstract
This paper explores
unsupervised learning
of
parsing models
along two directions. First, which models are identifiable from infinite data? We use a general technique for numerically checking
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