Part Of Speech Tagging On Ud
Metrics
Avg accuracy
Results
Performance results of various models on this benchmark
Model Name | Avg accuracy | Paper Title | Repository |
|---|---|---|---|
| BiLSTM-LAN | 96.88 | Hierarchically-Refined Label Attention Network for Sequence Labeling | - |
| Adversarial Bi-LSTM | 96.65 | Robust Multilingual Part-of-Speech Tagging via Adversarial Training | - |
| MultiBPEmb | 96.62 | Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation | - |
| Bi-LSTM | 96.40 | Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss | - |
| Joint Bi-LSTM | 95.55 | A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing | - |
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