Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models.
Daniel de Vassimon ManelaDavid ErringtonThomas FisherBoris van BreugelPasquale MinerviniPublished in: CoRR (2021)
Keyphrases
- language model
- pre trained
- fine tuned
- fine tuning
- language modeling
- training data
- training examples
- n gram
- probabilistic model
- document retrieval
- domain specific
- language modelling
- query expansion
- speech recognition
- information retrieval
- retrieval model
- test collection
- smoothing methods
- document ranking
- control signals
- relevance model
- supervised learning
- data sets
- statistical language models