2022
Learning Bias-reduced Word Embeddings Using Dictionary Definitions
ACL 2022findings
Pre-trained word embeddings, such as GloVe, have shown undesirable gender, racial, and religious biases. To address this problem, we propose DD-GloVe, a train-time debiasing algorithm to learn word embeddings by leveraging ̲dictionary ̲definitions. We introduce dictionary-guided loss functions tha…