Statistical grammar induction shows the GROWING (bottom-up) maturational account of syntactic category acquisition significantly outperforms the INWARD account across three metrics under identical input and learning conditions.
Induction of Linguistic Structure with C ombinatory C ategorial G rammars
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Sense-enhanced embeddings produce graphs that better capture semantic type information, allowing Neighbor Type Probability and Neighbor Type Entropy metrics to distinguish type matching from coercion in contextualized noun embeddings.
citing papers explorer
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A Computational Operationalisation of Competing Maturational Theories of Syntactic Development via Statistical Grammar Induction
Statistical grammar induction shows the GROWING (bottom-up) maturational account of syntactic category acquisition significantly outperforms the INWARD account across three metrics under identical input and learning conditions.
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A graph-based analysis of semantic types and coercion in contextualized word embeddings
Sense-enhanced embeddings produce graphs that better capture semantic type information, allowing Neighbor Type Probability and Neighbor Type Entropy metrics to distinguish type matching from coercion in contextualized noun embeddings.