The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs. / Kraft, Angelie; Usbeck, Ricardo.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Volume 1: Long Papers. Hrsg. / Yulan He; Heng Ji; Sujian Li; Yang Liu; Chua-Hui Chang. Band 1 Stroudsburg: Association for Computational Linguistics (ACL), 2022. S. 639-652.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Kraft, A & Usbeck, R 2022, The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs. in Y He, H Ji, S Li, Y Liu & C-H Chang (Hrsg.), Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Volume 1: Long Papers. Bd. 1, Association for Computational Linguistics (ACL), Stroudsburg, S. 639-652, Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, online, 20.11.22. https://doi.org/10.48550/arXiv.2210.03353

APA

Kraft, A., & Usbeck, R. (2022). The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs. In Y. He, H. Ji, S. Li, Y. Liu, & C.-H. Chang (Hrsg.), Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Volume 1: Long Papers (Band 1, S. 639-652). Association for Computational Linguistics (ACL). https://doi.org/10.48550/arXiv.2210.03353

Vancouver

Kraft A, Usbeck R. The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs. in He Y, Ji H, Li S, Liu Y, Chang CH, Hrsg., Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Volume 1: Long Papers. Band 1. Stroudsburg: Association for Computational Linguistics (ACL). 2022. S. 639-652 doi: 10.48550/arXiv.2210.03353

Bibtex

@inbook{ec2efd69e4d64fc7b942a6614fc8ad0a,
title = "The Lifecycle of {"}Facts'': A Survey of Social Bias in Knowledge Graphs",
abstract = "Knowledge graphs are increasingly used in a plethora of downstream tasks or in the augmentation of statistical models to improve factuality. However, social biases are engraved in these representations and propagate downstream. We conducted a critical analysis of literature concerning biases at different steps of a knowledge graph lifecycle. We investigated factors introducing bias, as well as the biases that are rendered by knowledge graphs and their embedded versions afterward. Limitations of existing measurement and mitigation strategies are discussed and paths forward are proposed.",
keywords = "Informatics",
author = "Angelie Kraft and Ricardo Usbeck",
year = "2022",
month = nov,
day = "1",
doi = "10.48550/arXiv.2210.03353",
language = "English",
volume = "1",
pages = "639--652",
editor = "Yulan He and Heng Ji and Sujian Li and Yang Liu and Chua-Hui Chang",
booktitle = "Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing",
publisher = "Association for Computational Linguistics (ACL)",
address = "United States",
note = "Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, AACL 2022 ; Conference date: 20-11-2022 Through 23-11-2022",

}

RIS

TY - CHAP

T1 - The Lifecycle of "Facts'': A Survey of Social Bias in Knowledge Graphs

AU - Kraft, Angelie

AU - Usbeck, Ricardo

PY - 2022/11/1

Y1 - 2022/11/1

N2 - Knowledge graphs are increasingly used in a plethora of downstream tasks or in the augmentation of statistical models to improve factuality. However, social biases are engraved in these representations and propagate downstream. We conducted a critical analysis of literature concerning biases at different steps of a knowledge graph lifecycle. We investigated factors introducing bias, as well as the biases that are rendered by knowledge graphs and their embedded versions afterward. Limitations of existing measurement and mitigation strategies are discussed and paths forward are proposed.

AB - Knowledge graphs are increasingly used in a plethora of downstream tasks or in the augmentation of statistical models to improve factuality. However, social biases are engraved in these representations and propagate downstream. We conducted a critical analysis of literature concerning biases at different steps of a knowledge graph lifecycle. We investigated factors introducing bias, as well as the biases that are rendered by knowledge graphs and their embedded versions afterward. Limitations of existing measurement and mitigation strategies are discussed and paths forward are proposed.

KW - Informatics

UR - https://aclanthology.org/2022.aacl-main.0.pdf

UR - https://aclanthology.org/2022.aacl-main.0/

UR - https://arxiv.org/abs/2210.03353

U2 - 10.48550/arXiv.2210.03353

DO - 10.48550/arXiv.2210.03353

M3 - Article in conference proceedings

VL - 1

SP - 639

EP - 652

BT - Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing

A2 - He, Yulan

A2 - Ji, Heng

A2 - Li, Sujian

A2 - Liu, Yang

A2 - Chang, Chua-Hui

PB - Association for Computational Linguistics (ACL)

CY - Stroudsburg

T2 - Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics

Y2 - 20 November 2022 through 23 November 2022

ER -

DOI