| license: apache-2.0 | |
| Fine-tuned T5 base model for use as a frame semantic parser in the [Frame Semantic Transformer](https://github.com/chanind/frame-semantic-transformer) project. This model is trained on data from [FrameNet 1.7](https://framenet2.icsi.berkeley.edu/). | |
| ### Usage | |
| This is meant to be used a part of [Frame Semantic Transformer](https://github.com/chanind/frame-semantic-transformer). See that project for usage instructions. | |
| ### Tasks | |
| This model is trained to perform 3 tasks related to semantic frame parsing: | |
| 1. Identify frame trigger locations in the text | |
| 2. Classify the frame given a trigger location | |
| 3. 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](https://github.com/swabhs/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 | | |