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chanind/frame-semantic-transformer-base
frame-semantic-transformer-base is a machine learning model from chanind. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned T5 base model for use as a frame semantic parser in the Frame Semantic Transformer project. This model is trained on data from FrameNet 1.7.
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From the Hugging Face model README
Fine-tuned T5 base model for use as a frame semantic parser in the Frame Semantic Transformer project. This model is trained on data from FrameNet 1.7.
This is meant to be used a part of Frame Semantic Transformer. See that project for usage instructions.
This model is trained to perform 3 tasks related to semantic frame parsing:
This model is trained and evaluated using the same train/dev/test splits from FrameNet 1.7 annotated corpora as used by Open Sesame.
| Task | F1 Score (Dev) | F1 Score (Test) |
|---|---|---|
| Trigger identification | 0.78 | 0.74 |
| Frame Classification | 0.91 | 0.89 |
| Argument Extraction | 0.78 | 0.75 |