Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction

1 Jun 2009 Shay Cohen Noah A. Smith

We present a family of priors over probabilistic grammar weights, called the shared logistic normal distribution. This family extends the partitioned logistic normal distribution, enabling factored covariance between the probabilities of different derivation events in the probabilistic grammar, providing a new way to encode prior knowledge about an unknown grammar... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Unsupervised Dependency Parsing Penn Treebank Shared Logistic Normal DMV UAS 41.4 # 4

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet