Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence

Chris Callison-BurchGaurav Singh TomarLara J. MartinDaphne IppolitoSuma BailisDavid Reitter

article2022EMNLP60 citations

Callison-Burch et al (2022).pdf

Citation

MLA

Callison-Burch, C., et al. “Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence”. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, pp. 9379–93, https://doi.org/10.18653/v1/2022.emnlp-main.637.

APA

Callison-Burch, C., Tomar, G. S., Martin, L. J., Ippolito, D., Bailis, S., & Reitter, D. (2022). Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 9379–9393. https://doi.org/10.18653/v1/2022.emnlp-main.637

Chicago

Callison-Burch, C., G. S. Tomar, L. J. Martin, D. Ippolito, S. Bailis, and D. Reitter. 2022. “Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence”. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 9379–93. https://doi.org/10.18653/v1/2022.emnlp-main.637.

Harvard

Callison-Burch, C. et al. (2022) “Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence”, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 9379–9393. Available at: https://doi.org/10.18653/v1/2022.emnlp-main.637.

Vancouver

1. Callison-Burch C, Tomar GS, Martin LJ, Ippolito D, Bailis S, Reitter D (2022) Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp 9379–9393

BibTeX

@inproceedings{callison-burch-etal-2022-dungeons,
    title = "Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence",
    author = "Callison-Burch, Chris  and
      Tomar, Gaurav Singh  and
      Martin, Lara J.  and
      Ippolito, Daphne  and
      Bailis, Suma  and
      Reitter, David",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.637/",
    doi = "10.18653/v1/2022.emnlp-main.637",
    pages = "9379--9393"
}

Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence

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