How to Cite a Conference Paper

Papers presented at academic conferences and symposiums.

What You'll Need

Paper Title
Short title
Author(s)
Proceedings Title
Conference Name
Editor(s)
Date Published
Publisher
Location
Pages
DOI
URL

Note the conference name, location, and dates. Conference proceedings may have a DOI, ISBN, or be published as a journal special issue.

Example Citations

APA 7th edition
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. In J. Burstein, C. Doran, & T. Solorio (Eds.), Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 4171–4186). Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1423
In-text (Devlin et al., 2019)
MLA 9th edition
Devlin, Jacob, et al. “BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding.” Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), edited by Jill Burstein et al., Association for Computational Linguistics, 2019, pp. 4171-86, https://doi.org/10.18653/v1/N19-1423.
In-text (Devlin et al.)
Chicago 18th edition (notes and bibliography)
Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. “BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding.” In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), edited by Jill Burstein, Christy Doran, and Thamar Solorio. Association for Computational Linguistics, 2019. https://doi.org/10.18653/v1/N19-1423.
Footnote Jacob Devlin et al., “BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), ed. Jill Burstein et al. (Association for Computational Linguistics, 2019), https://doi.org/10.18653/v1/N19-1423.
Harvard (Cite Them Right 12th edition)
Devlin, J. et al. (2019) ‘BERT: pre-training of deep bidirectional transformers for language understanding’, in J. Burstein, C. Doran, and T. Solorio (eds) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). NAACL HLT 2019, Stroudsburg, PA: Association for Computational Linguistics, pp. 4171–4186. Available at: https://doi.org/10.18653/v1/N19-1423.
In-text (Devlin et al., 2019)
IEEE
[1]
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), J. Burstein, C. Doran, and T. Solorio, Eds., Stroudsburg, PA: Association for Computational Linguistics, Jun. 2019, pp. 4171–4186. doi: 10.18653/v1/N19-1423.
In-text [1]

Numbered by order of appearance in your document.

Vancouver
1.
Devlin J, Chang MW, Lee K, Toutanova K. BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein J, Doran C, Solorio T, editors. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Stroudsburg, PA: Association for Computational Linguistics; 2019. p. 4171-86.
In-text (1)

Numbered by order of appearance in your document.

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