PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
PAR learns political actor representations by integrating social context and expert knowledge into a unified framework.
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PAR delivers compelling actor embeddings that outperform expert-only baselines across five datasets, but its reliance on scraped news social context and missing ablations leave its real-world voter relevance unproven.
Abstract
Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.