Dependency Parsing On Penn Treebank

평가 지표

LAS

POS

UAS

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	LAS	POS	UAS	Paper Title	Repository
Andor et al.	92.79	97.44	94.61	Globally Normalized Transition-Based Neural Networks
CRFPar	94.49	-	96.14	Efficient Second-Order TreeCRF for Neural Dependency Parsing
Deep Biaffine + RoBERTa	95.75	-	97.29	Deep Biaffine Attention for Neural Dependency Parsing
MFVI	95.34	-	96.91	Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training
SpanRel	94.70	-	96.44	Generalizing Natural Language Analysis through Span-relation Representations
Distilled neural FOG	92.06	97.44	94.26	Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser	-
Deep Biaffine	94.22	-	95.87	Deep Biaffine Attention for Neural Dependency Parsing
Graph-based parser with GNNs	94.31	97.3	95.97	Graph-based Dependency Parsing with Graph Neural Networks	-
Label Attention Layer + HPSG + XLNet	96.26	97.3	97.42	Rethinking Self-Attention: Towards Interpretability in Neural Parsing
jPTDP	93.87	97.97	95.51	An improved neural network model for joint POS tagging and dependency parsing
Weiss et al.	92.06	97.3	94.01	Structured Training for Neural Network Transition-Based Parsing	-
RNG Transformer	95.01	-	96.66	Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement
HPSG Parser (Joint) + XLNet	95.72	97.3	97.20	Head-Driven Phrase Structure Grammar Parsing on Penn Treebank
CVT + Multi-Task	95.02	-	96.61	Semi-Supervised Sequence Modeling with Cross-View Training
DMPar + XLNet	95.92	-	97.30	Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing
Left-to-Right Pointer Network	94.43	-	96.04	Left-to-Right Dependency Parsing with Pointer Networks
BIST transition-based parser	91.9	97.44	93.99	Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Arc-hybrid	91.42	97.3	93.56	Training with Exploration Improves a Greedy Stack-LSTM Parser	-
Stack-Pointer Network	94.19	97.3	95.87	Stack-Pointer Networks for Dependency Parsing
BIST graph-based parser	91.0	97.3	93.1	Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

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