readme: ---
  license: apache-2.0
  ---
  
  Fine-tuned T5 small 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](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 | 0.74           | 0.70           |
  | Frame Classification   | 0.83           | 0.81           |
  | Argument Extraction    | 0.68           | 0.70           |