Papers by Autumn Toney
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries (2021.emnlp-main)
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| Challenge: | Word embeddings learn implicit biases from word co-occurrence statistics . valNorm is a new intrinsic evaluation task and method to quantify affect in word embedded word sets . |
| Approach: | They propose a method to quantify valence dimension of affect in human-rated word sets . they apply ValNorm to embeddings from seven languages and 200 years of text . |
| Outcome: | The proposed method achieves a high accuracy in quantifying the valence of non-discriminatory, non-social group word sets. |