Citation

MLA
Asai, A., et al. “Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks”. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022, pp. 2226–43, https://doi.org/10.18653/v1/2022.naacl-main.162.
APA
Asai, A., Gardner, M., & Hajishirzi, H. (2022). Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2226–2243. https://doi.org/10.18653/v1/2022.naacl-main.162
Chicago
Asai, A., M. Gardner, and H. Hajishirzi. 2022. “Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks”. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2226–43. https://doi.org/10.18653/v1/2022.naacl-main.162.
Harvard
Asai, A., Gardner, M. and Hajishirzi, H. (2022) “Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks”, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, pp. 2226–2243. Available at: https://doi.org/10.18653/v1/2022.naacl-main.162.
Vancouver
1. Asai A, Gardner M, Hajishirzi H (2022) Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, pp 2226–2243

BibTeX

@inproceedings{asai-etal-2022-evidentiality,
    title = "Evidentiality-guided Generation for Knowledge-Intensive {NLP} Tasks",
    author = "Asai, Akari  and
      Gardner, Matt  and
      Hajishirzi, Hannaneh",
    editor = "Carpuat, Marine  and
      de Marneffe, Marie-Catherine  and
      Meza Ruiz, Ivan Vladimir",
    booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.naacl-main.162/",
    doi = "10.18653/v1/2022.naacl-main.162",
    pages = "2226--2243"
}
Metadata:ACL Anthology

Access the Paper

This paper is available from its original source. Click below to access the PDF.

Open PDF
License: https://creativecommons.org/licenses/by/4.0/