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Implementation of SynCPKL which is the winning method of CPKL challenge in the 6th Workshop on NLP for ConvAI

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SynCPKL: Harnessing LLMs to Generate Synthetic Data for Commonsense Persona Knowledge Linking

This repository contains all resources and information related to the paper: "SynCPKL: Harnessing LLMs to Generate Synthetic Data for Commonsense Persona Knowledge Linking".

Paper

You can find the full paper here: SynCPKL on arXiv

Contents

  • Trained models
  • Synthetic data
  • Reproduction instructions

Trained Models and Synthetic Data

The trained models and synthetic data mentioned in the paper are available on the Hugging Face Hub:

Reproduction

To reproduce our results or train your own Derberta-SynCPKL model, please refer to the DerbertaSynCPKL_train.ipynb notebook in this repository.

Citation

If you use our work in your research, please cite our paper:

@inproceedings{Lin2024SynCPKLHL,
  title={SynCPKL: Harnessing LLMs to Generate Synthetic Data for Commonsense Persona Knowledge Linking},
  author={Kuan-Yen Lin},
  year={2024},
  url={https://api.semanticscholar.org/CorpusID:271328327}
}

Contact

For any questions or issues, please open an issue in this repository or contact [email protected].

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Implementation of SynCPKL which is the winning method of CPKL challenge in the 6th Workshop on NLP for ConvAI

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