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knowledge graphsgraph construction

Citation

MLA
Ye, H., et al. “Generative Knowledge Graph Construction: A Review”. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, pp. 1–7, https://doi.org/10.18653/v1/2022.emnlp-main.1.
APA
Ye, H., Zhang, N., Chen, H., & Chen, H. (2022). Generative Knowledge Graph Construction: A Review. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 1–17. https://doi.org/10.18653/v1/2022.emnlp-main.1
Chicago
Ye, H., N. Zhang, H. Chen, and H. Chen. 2022. “Generative Knowledge Graph Construction: A Review”. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 1–17. https://doi.org/10.18653/v1/2022.emnlp-main.1.
Harvard
Ye, H. et al. (2022) “Generative Knowledge Graph Construction: A Review”, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 1–17. Available at: https://doi.org/10.18653/v1/2022.emnlp-main.1.
Vancouver
1. Ye H, Zhang N, Chen H, Chen H (2022) Generative Knowledge Graph Construction: A Review. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp 1–17

BibTeX

@inproceedings{ye-etal-2022-generative,
    title = "Generative Knowledge Graph Construction: A Review",
    author = "Ye, Hongbin  and
      Zhang, Ningyu  and
      Chen, Hui  and
      Chen, Huajun",
    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.1/",
    doi = "10.18653/v1/2022.emnlp-main.1",
    pages = "1--17"
}
Metadata:ACL Anthology

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