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A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction

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A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction

This repo contains the code of our TASLP'2021 paper:

A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction

Requirements

  • Python 3.6
  • PyTorch 1.8.0
  • transformers 2.8.0
  • pytorch_pretrained_bert 0.6.2

Quick Start

Run our model:

python src/main.py

Citation

If you think the codes & paper are helpful, please cite this paper. Thank you!

@article{DBLP:journals/taslp/ChengJYLG21,
  author    = {Zifeng Cheng and
               Zhiwei Jiang and
               Yafeng Yin and
               Na Li and
               Qing Gu},
  title     = {A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause
               Pair Extraction},
  journal   = {{IEEE} {ACM} Trans. Audio Speech Lang. Process.},
  volume    = {29},
  pages     = {2779--2791},
  year      = {2021},
  url       = {https://doi.org/10.1109/TASLP.2021.3102194},
  doi       = {10.1109/TASLP.2021.3102194},
}

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A Unified Target-Oriented Sequence-to-Sequence Model for Emotion-Cause Pair Extraction

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