Replacing MLP-based PCFG rule scoring with holographic circular-correlation operations on torus-constrained embeddings achieves state-of-the-art unsupervised parsing in six languages with 99.94% fewer rule-scoring parameters.
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Holographic Neural PCFG for Unsupervised Parsing
Replacing MLP-based PCFG rule scoring with holographic circular-correlation operations on torus-constrained embeddings achieves state-of-the-art unsupervised parsing in six languages with 99.94% fewer rule-scoring parameters.