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This paper proposes a delimiter-guided bottom-up constituency parser that removes the need for explicit arity actions by deriving arity from stack configurations, achieving competitive results on PTB and CTB with a smaller action inventory.
This paper introduces Holographic Neural PCFG (Hol-PCFG), which recasts probabilistic context-free grammar rule scoring using holographic embeddings, achieving state-of-the-art unsupervised parsing performance across six languages with a 99.94% reduction in parameters.