| ACE + document-context |
- F1
- 94.6
|
Automated Concatenation of Embeddings for Structured Prediction 2020-10-10 |
코드 1 · 코드 2 |
| LUKE 483M |
- F1
- 94.3
|
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention 2020-10-02 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| Co-regularized LUKE |
- F1
- 94.22
|
Learning from Noisy Labels for Entity-Centric Information Extraction 2021-04-17 |
코드 1 |
| LUKE + SubRegWeigh (K-means) |
- F1
- 94.2
|
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization 2024-09-10 |
코드 1 |
| ASP+T5-3B |
- F1
- 94.1
|
Autoregressive Structured Prediction with Language Models 2022-10-26 |
코드 1 |
| FLERT XLM-R |
- F1
- 94.09
|
FLERT: Document-Level Features for Named Entity Recognition 2020-11-13 |
코드 1 |
| PL-Marker |
- F1
- 94.0
|
Packed Levitated Marker for Entity and Relation Extraction 2021-09-13 |
코드 1 · 코드 2 |
| CL-KL |
- F1
- 93.85
|
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning 2021-05-08 |
코드 1 · 코드 2 · 코드 3 |
| XLNet-GCN |
- F1
- 93.82
|
Named entity recognition architecture combining contextual and global features 2021-12-15 |
코드 1 |
| RoBERTa + SubRegWeigh (K-means) |
- F1
- 93.81
|
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization 2024-09-10 |
코드 1 |
| ASP+flan-T5-large |
- F1
- 93.8
|
Autoregressive Structured Prediction with Language Models 2022-10-26 |
코드 1 |
| InferNER |
- F1
- 93.76
|
InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs 2021-04-18 |
연결 없음 |
| Cross-sentence context (First) |
- F1
- 93.74
|
Exploring Cross-sentence Contexts for Named Entity Recognition with BERT 2020-06-02 |
코드 1 |
| XLM-RoBERTa-large union |
- F1
- 93.69
|
Transformer-based Named Entity Recognition with Combined Data Representation 2024-06-25 |
연결 없음 |
| Baseline + BS |
- F1
- 93.65
|
Boundary Smoothing for Named Entity Recognition 2022-04-26 |
코드 1 |
| ACE |
- F1
- 93.64
|
Automated Concatenation of Embeddings for Structured Prediction 2020-10-10 |
코드 1 · 코드 2 |
| BERT-CRF |
- F1
- 93.6
|
Focusing on Potential Named Entities During Active Label Acquisition 2021-11-06 |
코드 1 |
| CNN Large + fine-tune |
- F1
- 93.5
|
Cloze-driven Pretraining of Self-attention Networks 2019-03-19 |
연결 없음 |
| Biaffine-NER |
- F1
- 93.5
|
Named Entity Recognition as Dependency Parsing 2020-05-14 |
코드 1 |
| GCDT + BERT-L |
- F1
- 93.47
|
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling 2019-06-06 |
코드 1 |
| I-DARTS + Flair |
- F1
- 93.47
|
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition 2019-11-01 |
코드 1 |
| CrossWeigh + Pooled Flair |
- F1
- 93.43
|
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations 2019-09-03 |
코드 1 |
| LSTM-CRF+ELMo+BERT+Flair |
- F1
- 93.38
|
Neural Architectures for Nested NER through Linearization 2019-08-19 |
코드 1 |
| Hierarchical + BERT |
- F1
- 93.37
|
Hierarchical Contextualized Representation for Named Entity Recognition 2019-11-06 |
코드 1 |
| BERT-CRF (Replicated in AdaSeq) |
- F1
- 93.35
|
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning 2021-05-08 |
코드 1 · 코드 2 · 코드 3 |
| BERT-MRC+DSC |
- F1
- 93.33
|
Dice Loss for Data-imbalanced NLP Tasks 2019-11-07 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| XLNet |
- F1
- 93.28
|
Named entity recognition architecture combining contextual and global features 2021-12-15 |
코드 1 |
| BARTNER |
- F1
- 93.24
|
A Unified Generative Framework for Various NER Subtasks 2021-06-02 |
코드 1 |
| GoLLIE |
- F1
- 93.1
|
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction 2023-10-05 |
코드 1 |
| Flair embeddings |
- F1
- 93.09
|
Contextual String Embeddings for Sequence Labeling 2018-08-01 |
코드 1 |