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Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis

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AbstractWe present a new approach for detecting human-like social biases in word embeddings using representational similarity analysis. Specifically, we probe contextualized and non-contextualized embeddings for evidence of intersectional biases against …...

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Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?

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Publication: TIPSTER (2023)

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AbstractSemitic morphologically-rich languages (MRLs) are characterized by extreme word ambiguity. Because most vowels are omitted in standard texts, many of the words are homographs with multiple possible analyses, each with …...

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