Социальные предвзятости

otherentity ID: socialbiases

Related Papers

When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractSocial biases are encoded in word embeddings. This presents a unique opportunity to study society historically and at scale, and a unique danger when embeddings are used in downstream applications. …...

37622

Bad Seeds: Evaluating Lexical Methods for Bias Measurement

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractA common factor in bias measurement methods is the use of hand-curated seed lexicons, but there remains little guidance for their selection. We gather seeds used in prior work, documenting …...

8733

Sociolectal Analysis of Pretrained Language Models

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractUsing data from English cloze tests, in which subjects also self-reported their gender, age, education, and race, we examine performance differences of pretrained language models across demographic groups, defined by …...

31729

Gendered Mental Health Stigma in Masked Language Models

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractMental health stigma prevents many individuals from receiving the appropriate care, and social psychology studies have shown that mental health tends to be overlooked in men. In this work, we …...

31401

Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSense embedding learning methods learn different embeddings for the different senses of an ambiguous word. One sense of an ambiguous word might be socially biased while its other senses remain …...

39243