Papers by Alisa Kanganis
Op-Fed: Opinion, Stance, and Monetary Policy Annotations on FOMC Transcripts Using Active Learning (2026.findings-acl)
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| Challenge: | Op-Fed dataset captures monetary policy stance, but there are still questions about FOMC decision making . |
| Approach: | They use a dataset of 1044 human-annotated sentences and their contexts from FOMC transcripts to capture monetary policy stance. |
| Outcome: | The proposed dataset captures whether an individual FOMC member expresses support for tightening or loosening policy. |