| To be Continuous, or to be Discrete, Those are Bits of Questions | ✓ Link | 96.43 | Hashing + XLNet | 2024-06-12 |
| Improving Constituency Parsing with Span Attention | ✓ Link | 96.40 | SAPar + XLNet | 2020-10-15 |
| Rethinking Self-Attention: Towards Interpretability in Neural Parsing | ✓ Link | 96.38 | Label Attention Layer + HPSG + XLNet | 2019-11-10 |
| Strongly Incremental Constituency Parsing with Graph Neural Networks | ✓ Link | 96.34 | Attach-Juxtapose Parser + XLNet | 2020-10-27 |
| Head-Driven Phrase Structure Grammar Parsing on Penn Treebank | ✓ Link | 96.33 | Head-Driven Phrase Structure Grammar Parsing (Joint) + XLNet | 2019-07-05 |
| Fast and Accurate Neural CRF Constituency Parsing | ✓ Link | 96.32 | CRF Parser + RoBERTa | 2020-08-09 |
| To be Continuous, or to be Discrete, Those are Bits of Questions | ✓ Link | 96.03 | Hashing + Bert | 2024-06-12 |
| N-ary Constituent Tree Parsing with Recursive Semi-Markov Model | ✓ Link | 95.92 | N-ary semi-markov + BERT-large | 2021-07-26 |
| Investigating Non-local Features for Neural Constituency Parsing | ✓ Link | 95.92 | NFC + BERT-large | 2021-09-27 |
| Head-Driven Phrase Structure Grammar Parsing on Penn Treebank | ✓ Link | 95.84 | Head-Driven Phrase Structure Grammar Parsing (Joint) + BERT | 2019-07-05 |
| Fast and Accurate Neural CRF Constituency Parsing | ✓ Link | 95.69 | CRF Parser + BERT | 2020-08-09 |
| Cloze-driven Pretraining of Self-attention Networks | | 95.6 | CNN Large + fine-tune | 2019-03-19 |
| Generalizing Natural Language Analysis through Span-relation Representations | ✓ Link | 95.5 | SpanRel | 2019-11-10 |
| Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference | ✓ Link | 95.44 | Tetra Tagging | 2019-04-22 |
| Constituency Parsing with a Self-Attentive Encoder | ✓ Link | 95.13 | Self-attentive encoder + ELMo | 2018-05-02 |
| Improving Neural Parsing by Disentangling Model Combination and Reranking Effects | | 94.66 | Model combination | 2017-07-10 |
| Direct Output Connection for a High-Rank Language Model | ✓ Link | 94.47 | LSTM Encoder-Decoder + LSTM-LM | 2018-08-30 |
| An Empirical Study of Building a Strong Baseline for Constituency Parsing | ✓ Link | 94.32 | LSTM Encoder-Decoder + LSTM-LM | 2018-07-01 |
| In-Order Transition-based Constituent Parsing | ✓ Link | 94.2 | In-order | 2017-07-17 |
| Fast and Accurate Neural CRF Constituency Parsing | ✓ Link | 94.12 | CRF Parser | 2020-08-09 |
| Parsing as Language Modeling | ✓ Link | 93.8 | Semi-supervised LSTM-LM | 2016-11-01 |
| What Do Recurrent Neural Network Grammars Learn About Syntax? | ✓ Link | 93.6 | Stack-only RNNG | 2016-11-17 |
| Attention Is All You Need | ✓ Link | 92.7 | Transformer | 2017-06-12 |
| Syntactic Parse Fusion | ✓ Link | 92.6 | Parse fusion | 2015-09-01 |
| Grammar as a Foreign Language | ✓ Link | 92.1 | Semi-supervised LSTM | 2014-12-23 |
| Effective Self-Training for Parsing | ✓ Link | 92.1 | Self-training | 2006-06-01 |
| Recurrent Neural Network Grammars | ✓ Link | 93.3 | RNN Grammar | 2016-02-25 |