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Party Matters: Enhancing Legislative Embeddings with Author Attributes
  for Vote Prediction

Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction

21 May 2018
Anastassia Kornilova
Daniel Argyle
Vladimir Eidelman
ArXivPDFHTML

Papers citing "Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction"

3 / 3 papers shown
Title
PAR: Political Actor Representation Learning with Social Context and
  Expert Knowledge
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
Shangbin Feng
Zhaoxuan Tan
Zilong Chen
Ningnan Wang
Peisheng Yu
Qinghua Zheng
Xiao Chang
Minnan Luo
32
8
0
15 Oct 2022
Disentangling Active and Passive Cosponsorship in the U.S. Congress
Disentangling Active and Passive Cosponsorship in the U.S. Congress
Giuseppe Russo
Christoph Gote
L. Brandenberger
Sophia Schlosser
F. Schweitzer
LLMSV
AI4CE
34
7
0
19 May 2022
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,373
0
25 Aug 2014
1