Constituency Grammar Induction
15 papers with code • 1 benchmarks • 1 datasets
Inducing a constituency-based phrase structure grammar.
Benchmarks
These leaderboards are used to track progress in Constituency Grammar Induction
| Trend | Dataset | Best Model | Paper | Code | Compare |
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PTB Diagnostic ECG Database
Most implemented papers
Dependency Induction Through the Lens of Visual Perception
ruisi-su/concrete_dep
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CoNLL (EMNLP) 2021
Our experiments find that concreteness is a strong indicator for learning dependency grammars, improving the direct attachment score (DAS) by over 50\% as compared to state-of-the-art models trained on pure text.
Co-training an Unsupervised Constituency Parser with Weak Supervision
We introduce a method for unsupervised parsing that relies on bootstrapping classifiers to identify if a node dominates a specific span in a sentence.
Augmenting Transformers with Recursively Composed Multi-grained Representations
ant-research/structuredlm_rtdt
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More interestingly, the hierarchical structures induced by ReCAT exhibit strong consistency with human-annotated syntactic trees, indicating good interpretability brought by the CIO layers.
Ensemble Distillation for Unsupervised Constituency Parsing
We investigate the unsupervised constituency parsing task, which organizes words and phrases of a sentence into a hierarchical structure without using linguistically annotated data.
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions
Scaling dense PCFGs to thousands of nonterminals via a low-rank parameterization of the rule probability tensor has been shown to be beneficial for unsupervised parsing.
