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Constituency Grammar Induction
Constituency Grammar Induction On Ptb
Constituency Grammar Induction On Ptb
Metriken
Max F1 (WSJ)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Max F1 (WSJ)
Paper Title
Repository
PRPN
38.1
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Ensemble (Selective MBR)
-
Ensemble Distillation for Unsupervised Constituency Parsing
-
ReCAT
-
Augmenting Transformers with Recursively Composed Multi-grained Representations
-
ON-LSTM
49.4
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
DIORA (+PP)
56.2
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders
Parse-Focused (NT=30)
68.4
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction
-
Ensemble (Generative MBR)
71.9
Ensemble Distillation for Unsupervised Constituency Parsing
-
inside-outside co-training + weak supervision
66.8
Co-training an Unsupervised Constituency Parser with Weak Supervision
Compound PCFG
60.1
Compound Probabilistic Context-Free Grammars for Grammar Induction
TN-PCFG (p=500)
61.4
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
ON-LSTM (tuned)
50.0
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
DIORA
49.6
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders
URNNG
52.4
Unsupervised Recurrent Neural Network Grammars
GPST(left to right parsing)
-
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale
Neural PCFG
52.6
Compound Probabilistic Context-Free Grammars for Grammar Induction
Parse-Focused (NT=4500)
70.3
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction
-
S-DIORA
63.96
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders
-
DP in rank space
-
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs
Hashing (Parserker 2)
64.1
On Eliciting Syntax from Language Models via Hashing
PRPN (tuned)
47.9
Neural Language Modeling by Jointly Learning Syntax and Lexicon
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