Chinese Semantic Role Labeling
2 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Chinese Semantic Role Labeling
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CoNLL
Latest papers with no code
High-order Refining for End-to-end Chinese Semantic Role Labeling
Current end-to-end semantic role labeling is mostly accomplished via graph-based neural models.
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data
But the training data of single corpus is often limited.
Syntax Aware LSTM Model for Chinese Semantic Role Labeling
As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the feature engineering way.
Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames
To compensate the deficiency of the surface case frames, we compile deep case frames from automatic semantic roles.
Improving Chinese SRL with Heterogeneous Annotations
Previous studies on Chinese semantic role labeling (SRL) have concentrated on single semantically annotated corpus.
