16 citations · 16 across the 1 of their papers we have counts for
2 papers
cs.CL2020★ 16 cited
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddings
Katherine McCurdy, Oguz Serbetci
Recent research has demonstrated that vector space models of semantics can reflect undesirable biases in human culture. Our investigation of crosslinguistic word embeddings reveals…
cs.CL2020
Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals
Kate McCurdy, Sharon Goldwater, Adam Lopez
Can artificial neural networks learn to represent inflectional morphology and generalize to new words as human speakers do? Kirov and Cotterell (2018) argue that the answer is yes:…