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Semantic Similarity Paper Code Repository

This repository contains the code implementation for the research paper titled "Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples" authored by Rhitabrat Pokharel and Ameeta Agrawal published at *SEM 2023 co-located with ACL 2023.

How to run?

All necessary installations have already been mentioned in the notebooks. Once you have installed the dependencies, proceed to run the cells as required.

How to run with your data?

If you want to use your own data, convert them into Hugging Face's DatasetDict and it should be easy to follow the example given.

Cite our Work

Should you discover this project valuable for your research, please cite our paper.

@inproceedings{pokharel-agrawal-2023-estimating,
    title = "Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples",
    author = "Pokharel, Rhitabrat  and
      Agrawal, Ameeta",
    booktitle = "Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.starsem-1.35",
    pages = "409--416",
}

Thank you for your interest in our research code!

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