Papers by Dylan Walker
Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the “What” and Focus on the “How”! (2023.acl-long)
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| Challenge: | a novel supervised learning approach for political ideology prediction is needed for many applications. |
| Approach: | They propose a supervised learning approach for political ideology prediction that decomposes document embeddings into a linear superposition of two vectors. |
| Outcome: | The proposed model outperforms state-of-the-art models on two benchmark datasets with biased data with 5% accuracy. |