This repository contains the code associated to the LineBert paper. It indroduces a simple method for discourse parsing in dialogue.
Scores | Attachments | Relations |
---|---|---|
STAC | 73.06 | 56.25 |
STAC-squished | 79.93 | 71.22 |
The two data sets, stac and stac_squished can be found here
All the requirement for LineBert can be found in requirements.txt
. For training or testing, the data sets should be put in the corresponding folder.
For training, run the following commands:
python bert_finetune.py
python linear.py
python multitask.py
- For evaluation add the trained models to the
models
folder, or use the .pth obtained after training, and run the the notebooksbert_finetune_test.ipynb
andmultitask_test.ipynb
.