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Found 6 papers, 5 papers with code
Gender and Representation Bias in GPT-3 Generated Stories
Using topic modeling and lexicon-based word similarity, we find that stories generated by GPT-3 exhibit many known gender stereotypes.
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications
We extend past work that characterizes science at the level of word types, by using BERT-based word sense induction to find additional words that are widespread but overloaded with different uses across fields.
Discovering Differences in the Representation of People using Contextualized Semantic Axes
A common paradigm for identifying semantic differences across social and temporal contexts is the use of static word embeddings and their distances.
Characterizing English Variation across Social Media Communities with BERT
Much previous work characterizing language variation across Internet social groups has focused on the types of words used by these groups.
Using Sentiment Induction to Understand Variation in Gendered Online Communities
We analyze gendered communities defined in three different ways: text, users, and sentiment.
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning
Distributional word representation methods exploit word co-occurrences to build compact vector encodings of words.
