https://github.com/datascienceuibk/tempambiqa

Detecting Temporal Ambiguity in Questions
https://github.com/datascienceuibk/tempambiqa

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Detecting Temporal Ambiguity in Questions

• Host: GitHub
• URL: https://github.com/datascienceuibk/tempambiqa
• Owner: DataScienceUIBK
• License: mit
• Created: 2024-09-21T16:50:24.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-26T22:50:02.000Z (over 1 year ago)
• Last Synced: 2025-09-11T10:35:23.910Z (9 months ago)
• Homepage:
• Size: 565 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          



    







# Detecting Temporal Ambiguity in Questions



## 🗃️Dataset

In this study, we manually labeled 8,162 open-domain questions as temporally ambiguous or unambiguous, creating [⬇️TempAmbiQA](https://huggingface.co/datasets/Bhawna/TempAmbiQA/tree/main). You can access and download the dataset by clicking on the corresponding link.

```json

[

    {

        "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](LICENSE) file for details.

## ✨Citation

If you find this work useful, please cite [📜our paper](https://aclanthology.org/2024.findings-emnlp.562.pdf):

### 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

```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.