Citation Intent Classification On Acl Arc
Metrics
Macro-F1
Results
Performance results of various models on this benchmark
Model Name | Macro-F1 | Paper Title | Repository |
|---|---|---|---|
| Structural-scaffolds | 67.9 | Structural Scaffolds for Citation Intent Classification in Scientific Publications | |
| CitePrompt | 68.39 | CitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers | |
| BiLSTM-Attention | 51.8 | - | - |
| SVM | 41.0 | - | - |
| VarMAE | Not reported | VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding | - |
| Feature-rich Random Forest | 53.0 | - | - |
| BiLSTM-Attention + ELMo | 54.6 | Deep contextualized word representations |
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