All datasets / allenai
allenai/social_bias_frames
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@inproceedings{sap-etal-2020-social,
title = "Social Bias Frames: Reasoning about Social and Power Implications of Language",
author = "Sap, Maarten and
Gabriel, Saadia and
Qin, Lianhui and
Jurafsky, Dan and
Smith, Noah A. and
Choi, Yejin",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.acl-main.486",
doi = "10.18653/v1/2020.acl-main.486",
pages = "5477--5490",
abstract = "Warning: this paper contains content that may be offensive or upsetting. Language has the power to reinforce stereotypes and project social biases onto others. At the core of the challenge is that it is rarely what is stated explicitly, but rather the implied meanings, that frame people{'}s judgments about others. For example, given a statement that {``}we shouldn{'}t lower our standards to hire more women,{''} most listeners will infer the implicature intended by the speaker - that {``}women (candidates) are less qualified.{''} Most semantic formalisms, to date, do not capture such pragmatic implications in which people express social biases and power differentials in language. We introduce Social Bias Frames, a new conceptual formalism that aims to model the pragmatic frames in which people project social biases and stereotyp
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dataset_licence({ "id": "allenai/social_bias_frames" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0