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Found 2 papers, 1 papers with code
[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Despite widespread use in natural language processing (NLP) tasks, word embeddings have been criticized for inheriting unintended gender bias from training corpora.
On-Device Document Classification using multimodal features
For this task, we integrate an open-source library for Optical Character Recognition (OCR) and our novel model architecture in the pipeline.
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