Theories of “gender” in nlp bias research
H Devinney, J Björklund, H Björklund - … of the 2022 ACM conference on …, 2022 - dl.acm.org
The rise of concern around Natural Language Processing (NLP) technologies containing
and perpetuating social biases has led to a rich and rapidly growing area of research …
and perpetuating social biases has led to a rich and rapidly growing area of research …
Evaluating gender bias of pre-trained language models in natural language inference by considering all labels
P Anantaprayoon, M Kaneko, N Okazaki - arXiv preprint arXiv:2309.09697, 2023 - arxiv.org
Discriminatory social biases, including gender biases, have been found in Pre-trained
Language Models (PLMs). In Natural Language Inference (NLI), recent bias evaluation …
Language Models (PLMs). In Natural Language Inference (NLI), recent bias evaluation …
Herb: Measuring hierarchical regional bias in pre-trained language models
Fairness has become a trending topic in natural language processing (NLP), which
addresses biases targeting certain social groups such as genders and religions. However …
addresses biases targeting certain social groups such as genders and religions. However …
Artelingo: A million emotion annotations of wikiart with emphasis on diversity over language and culture
This paper introduces ArtELingo, a new benchmark and dataset, designed to encourage
work on diversity across languages and cultures. Following ArtEmis, a collection of 80k …
work on diversity across languages and cultures. Following ArtEmis, a collection of 80k …
[PDF][PDF] Undesirable biases in NLP: Averting a crisis of measurement
O Van der Wal, D Bachmann, A Leidinger… - arXiv preprint arXiv …, 2022 - pure.uva.nl
Abstract As Large Language Models and Natural Language Processing (NLP) technology
rapidly develops and spreads into daily life, it becomes crucial to anticipate how its use …
rapidly develops and spreads into daily life, it becomes crucial to anticipate how its use …
Corgi-pm: A chinese corpus for gender bias probing and mitigation
As natural language processing (NLP) for gender bias becomes a significant
interdisciplinary topic, the prevalent data-driven techniques such as large-scale language …
interdisciplinary topic, the prevalent data-driven techniques such as large-scale language …
Healthy immigrant effect or under-detection? Examining undiagnosed and unrecognized late-life depression for racialized immigrants and nonimmigrants in Canada
S Lin - The Journals of Gerontology: Series B, 2024 - academic.oup.com
Abstract Objectives Immigrants to Canada tend to have a lower incidence of diagnosed
depression than nonimmigrants. One theory suggests that this “healthy immigrant effect …
depression than nonimmigrants. One theory suggests that this “healthy immigrant effect …
Undesirable biases in NLP: Addressing challenges of measurement
O Van der Wal, D Bachmann, A Leidinger… - Journal of Artificial …, 2024 - jair.org
Abstract As Large Language Models and Natural Language Processing (NLP) technology
rapidly develop and spread into daily life, it becomes crucial to anticipate how their use …
rapidly develop and spread into daily life, it becomes crucial to anticipate how their use …
Multicultural emotional reasoning in vision language models
YS MOHAMED - 2023 - repository.kaust.edu.sa
Human intelligence, with its many components, has been elusive. Until recently, the
emphasis has been on facts and how humans perceive them. Now, it is time to embellish …
emphasis has been on facts and how humans perceive them. Now, it is time to embellish …
她的偏見不是他的偏見: 比較女性與男性雜誌的性別偏見
曾子軒 - 2022 - tdr.lib.ntu.edu.tw
因為能夠反應社會上的價值觀, 再加上其性別化的訊息, 還有新聞性的本質, 流行雜誌時常是性別
研究的研究對象. 先前的研究表明, 詞嵌入模型能夠揭示媒體中性別之間的微妙偏見 …
研究的研究對象. 先前的研究表明, 詞嵌入模型能夠揭示媒體中性別之間的微妙偏見 …