Clement25 / dialog-HGAT

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

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dialog-HGAT

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

Setup

Download GloVe vectors from here and put it into dataset/ folder

Next Install the required libraries:

  1. Assume you have installed Pytorch >= 1.5
  2. Install dgl library according to your cuda version using the commands below
pip install --pre dgl-cu100     # For CUDA 10.0 Build
pip install --pre dgl-cu101     # For CUDA 10.1 Build
pip install --pre dgl-cu102     # For CUDA 10.2 Build
  1. Install PytorchLightning github
  2. Install from requirements.txt by pip install -r requirements.txt and run python -m spacy download en_core_web_sm

Run code

Training

python main.py

Testing

python main.py --mode test --ckpt_path [your_ckpt_file_path]

Paper Link

https://arxiv.org/pdf/2009.05092.pdf

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Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

License:MIT License


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Language:Python 100.0%