chanind/frame-semantic-transformer-base

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.

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:

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.

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