This repository contains the source code for VTCC-NLP team's method for SemEval-2023 Task 6 “Rhetorical Roles Prediction”. Our method achieves the top 4 in the public leaderboard of the sub-task B. The model is described in the paper "VTCC-NLP at SemEval-2023 Task 6:Long-Text Representation Based on Graph Neural Network for Rhetorical Roles Prediction".
pip install -r requirements.txt
For training, you can run as the follows:
bash lsp.sh
bash train.sh
For inference, run this command:
python infer_new_graph.py custom_processed_input.json output_json_path model_path
18 commits
Python
92.4%
Jupyter Notebook
7.5%
This repository contains the source code for VTCC-NLP team's method for SemEval-2023 Task 6 “Rhetorical Roles Prediction”. Our method achieves the top 4 in the public leaderboard of the sub-task B. The model is described in the paper "VTCC-NLP at SemEval-2023 Task 6:Long-Text Representation Based on Graph Neural Network for Rhetorical Roles Prediction".
pip install -r requirements.txt
For training, you can run as the follows:
bash lsp.sh
bash train.sh
For inference, run this command:
python infer_new_graph.py custom_processed_input.json output_json_path model_path
18 commits
Python
92.4%
Jupyter Notebook
7.5%