OpenCodePapers

dependency-parsing-on-penn-treebank

Dependency Parsing
Dataset Link
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PaperCodeLASUASPOSModelNameReleaseDate
Rethinking Self-Attention: Towards Interpretability in Neural Parsing✓ Link96.2697.4297.3Label Attention Layer + HPSG + XLNet2019-11-10
Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing✓ Link95.9297.30DMPar + XLNet
Automated Concatenation of Embeddings for Structured Prediction✓ Link95.897.2ACE2020-10-10
Deep Biaffine Attention for Neural Dependency Parsing✓ Link95.7597.29Deep Biaffine + RoBERTa2016-11-06
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank✓ Link95.7297.2097.3HPSG Parser (Joint) + XLNet 2019-07-05
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training✓ Link95.3496.91MFVI2020-10-10
Semi-Supervised Sequence Modeling with Cross-View Training✓ Link95.0296.61CVT + Multi-Task2018-09-22
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement✓ Link95.0196.66RNG Transformer2020-03-29
Generalizing Natural Language Analysis through Span-relation Representations✓ Link94.7096.44SpanRel2019-11-10
Efficient Second-Order TreeCRF for Neural Dependency Parsing✓ Link94.4996.14CRFPar2020-05-03
Left-to-Right Dependency Parsing with Pointer Networks✓ Link94.4396.04Left-to-Right Pointer Network2019-03-20
Graph-based Dependency Parsing with Graph Neural Networks✓ Link94.3195.9797.3Graph-based parser with GNNs2019-07-01
Deep Biaffine Attention for Neural Dependency Parsing✓ Link94.2295.87Deep Biaffine2016-11-06
Stack-Pointer Networks for Dependency Parsing✓ Link94.1995.8797.3Stack-Pointer Network2018-05-03
An improved neural network model for joint POS tagging and dependency parsing✓ Link93.8795.5197.97jPTDP2018-07-11
[]()93.295.42Experiment-bert
Globally Normalized Transition-Based Neural Networks✓ Link92.7994.6197.44Andor et al.2016-03-19
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser✓ Link92.0694.2697.44Distilled neural FOG2016-09-24
Structured Training for Neural Network Transition-Based Parsing92.0694.0197.3Weiss et al.2015-06-19
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations✓ Link91.993.9997.44BIST transition-based parser2016-03-14
Training with Exploration Improves a Greedy Stack-LSTM Parser91.4293.5697.3Arc-hybrid2016-03-11
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations✓ Link91.093.197.3BIST graph-based parser2016-03-14