This repository is the code and data for DialMed: A Dataset for Dialogue-based Medication Recommendation, COLING 2022 (pdf).
Figue 1: This is the framework of DDN(Dialogue structure and Disease knowledge aware Network) which is a model aiming to dialogue based medication recommendation.
Requirements
pytorch
numpy
sklearn
transformers
tqdm
Usage
Download the kg info and kg embedding (pretrained with TransR)
For the train, eval, test of DDN ,
python train.py --data_path DialMed/data/ --cuda 0File Tree
DialMed
├── LICENSE
├── README.md
├── src
│ ├── data.py
│ ├── model.py
│ ├── train.py
│ └── utils.py
├── data
│ ├── dataset
│ │ ├── label.json
│ │ ├── train.txt
│ │ ├── test.txt
│ │ └── dev.txt
│ ├── log
│ └── kg
│ ├── kg_info.pkl
│ └── transr_embedding_500.pkl
└── appendix
├── ddi.json
├── medication_normalization.json
└── statistic_medication_ratio.py