Code For ACL2023 Paper “DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition”

It contains the following file:

• DiscoPrompt.py
• discoverbalizer.py
• data_utils.py
• utils.py
• requirements.txt

Prerequisites

• All Environment requirements list in "requirements.txt"

Usage

1. You should download PDTB2.0 Dataset from "https://catalog.ldc.upenn.edu/LDC2008T05" and CoNLL-2016 datset from "https://www.cs.brandeis.edu/~clp/conll16st/dataset.html".
2. Run Command: "pip install -r requirements.txt".
3. Run following command: "python /DiscoPrompt/DiscoPrompt.py --template_id 0 --max_steps 30000 --batch_size 4 --eval_every_steps 250 --dataset ji --model_name_or_path google/t5-v1_1-large --result_file ./DiscoPrompt/results/DiscoPromptClassification_PDTB2.txt --ckpt_file DiscoPromptClassification_PDTB2 --prompt_lr 0.3"