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frame-semantic-transformer-small
chanind/frame-semantic-transformer-small
frame-semantic-transformer-small 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 small model for use as a frame semantic parser in the Frame Semantic Transformer project. This model is trained on data from FrameNet.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 18, 2022
- Updated
- Mar 13, 2023
- SHA
- ddfe8a0f
Model card
From the Hugging Face model README
Fine-tuned T5 small model for use as a frame semantic parser in the Frame Semantic Transformer project. This model is trained on data from FrameNet.
Usage
This is meant to be used a part of Frame Semantic Transformer. See that project for usage instructions.
Tasks
This model is trained to perform 3 tasks related to semantic frame parsing:
- Identify frame trigger locations in the text
- Classify the frame given a trigger location
- Extract frame elements in the sentence
Performance
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 | 0.75 | 0.71 |
| Frame Classification | 0.87 | 0.86 |
| Argument Extraction | 0.76 | 0.73 |
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 18, 2022
- Updated
- Mar 13, 2023