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Optimizing text representations to capture (dis)similarity between
  political parties

Optimizing text representations to capture (dis)similarity between political parties

21 October 2022
Tanise Ceron
Nico Blokker
Sebastian Padó
ArXiv (abs)PDFHTML

Papers citing "Optimizing text representations to capture (dis)similarity between political parties"

4 / 4 papers shown
Title
SpeakGer: A meta-data enriched speech corpus of German state and federal
  parliaments
SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments
Kai-Robin Lange
Carsten Jentsch
LMTDAILaw
40
3
0
23 Oct 2024
Toeing the Party Line: Election Manifestos as a Key to Understand
  Political Discourse on Twitter
Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter
Maximilian Maurer
Tanise Ceron
Sebastian Padó
Gabriella Lapesa
30
0
0
21 Oct 2024
Multilingual estimation of political-party positioning: From label
  aggregation to long-input Transformers
Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers
Dmitry Nikolaev
Tanise Ceron
Sebastian Padó
72
1
0
19 Oct 2023
Additive manifesto decomposition: A policy domain aware method for
  understanding party positioning
Additive manifesto decomposition: A policy domain aware method for understanding party positioning
Tanise Ceron
Dmitry Nikolaev
Sebastian Padó
36
5
0
17 May 2023
1