Detecting Temporal Ambiguity in Questions

🗃️Dataset

In this study, we manually labeled 8,162 open-domain questions as temporally ambiguous or unambiguous, creating ⬇️TempAmbiQA. You can access and download the dataset by clicking on the corresponding link.

[
    {
        "question": "",
        "is_ambiguous": ,
    }
]

The statistics of the dataset are given below:

	No. of Questions
#Questions	8,162
Ambiguous Questions	3,879
Unambiguous Questions	4,283
Average Question Length (Words)	8.55

🪪License

This project is licensed under the MIT License - see the LICENSE file for details.

✨Citation

If you find this work useful, please cite 📜our paper:

Plain

Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, and Adam Jatowt. 2024. Detecting Temporal Ambiguity in Questions. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 9620–9634, Miami, Florida, USA. Association for Computational Linguistics.

Bibtex

@inproceedings{piryani-etal-2024-detecting,
    title = "Detecting Temporal Ambiguity in Questions",
    author = "Piryani, Bhawna  and
      Abdallah, Abdelrahman  and
      Mozafari, Jamshid  and
      Jatowt, Adam",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-emnlp.562",
    pages = "9620--9634",
}

🙏Acknowledgments

Thanks to our contributors and the University of Innsbruck for supporting this project.