mlsanityData to 7 Oct 2026

Disentangling Active and Passive Cosponsorship in the U.S. Congress

arXiv 2205.09674 ↗First posted 19 May 2022cs.LG cs.CL cs.CYcited by 4

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Abstract (arXiv)

In the U.S. Congress, legislators can use active and passive cosponsorship to support bills. We show that these two types of cosponsorship are driven by two different motivations: the backing of political colleagues and the backing of the bill's content. To this end, we develop an Encoder+RGCN based model that learns legislator representations from bill texts and speech transcripts. These representations predict active and passive cosponsorship with an F1-score of 0.88. Applying our representations to predict voting decisions, we show that they are interpretable and generalize to unseen tasks.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 15 of its 56 references that are in the map. First posted on arXiv 19 May 2022.

Builds on

15 of 56 references.

References · 15

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3 more
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Built on by

Cited by year

Citing papers per year: 2022: 2; 2023: 2.

4 papers.

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  3. 2023Extracting Victim Counts from Textcited by 0
  4. 2023UPB @ ACTI: Detecting Conspiracies using fine tuned Sentence Transformerscited by 0