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