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Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses
U. S. Federal Regulators receive over one million comment letters each year from businesses, interest groups, and members of the public, all advocating for changes to proposed regulations.
Improving Context Modeling in Neural Topic Segmentation
Topic segmentation is critical in key NLP tasks and recent works favor highly effective neural supervised approaches.
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