@inproceedings{sarkar-etal-2025-cryptopiqa,
    title = "{C}rypt{O}pi{QA}: A new Opinion and Question Answering dataset on Cryptocurrency",
    author = "Sarkar, Sougata  and
      Badwal, Aditya  and
      Roy, Amartya  and
      Rudra, Koustav  and
      Ghosh, Kripabandhu",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2025.coling-main.736/",
    pages = "11107--11120",
    abstract = "Cryptocurrency has attracted a lot of public attention and opinion worldwide. Users have different kinds of information needs regarding such topics and publicly available information is a good resource to satisfy those information needs. In this paper, we investigate the public opinion on cryptocurrency and bitcoin on two social media {--} Twitter and Reddit. We have created a multi-level dataset \textit{CryptOpiQA} and garnered valuable insights. The dataset contains both gold standard (manually annotated) and silver standard (inferred from the gold standard) labels. As a part of this dataset, we have also created a Question Answering sub-corpus. We have used state-of-the-art LLMs and advanced techniques such as retrieval augmented generation (RAG) to improve question-answering (QnA) results. We believe this dataset and the analysis will be useful in studying user opinions and Question-Answering on cryptocurrency in the research community."
}