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Found 8 papers, 2 papers with code
Swimming with the Tide? Positional Claim Detection across Political Text Types
Manifestos are official documents of political parties, providing a comprehensive topical overview of the electoral programs.
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification
The analysis of public debates crucially requires the classification of political demands according to hierarchical claim ontologies (e. g. for immigration, a supercategory “Controlling Migration” might have subcategories “Asylum limit” or “Border installations”).
Improving Neural Political Statement Classification with Class Hierarchical Information
Many tasks in text-based computational social science (CSS) involve the classification of political statements into categories based on a domain-specific codebook.
Optimizing text representations to capture (dis)similarity between political parties
Even though fine-tuned neural language models have been pivotal in enabling "deep" automatic text analysis, optimizing text representations for specific applications remains a crucial bottleneck.
Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports
Besides the released resources and the case-study, our contribution is also methodological: we talk the reader through the steps from a newspaper article to a discourse network, demonstrating that there is not just one discourse network for the German migration debate, but multiple ones, depending on the topic of interest (political actors, policy fields, time spans).
DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time
DEbateNet-migr15 is a manually annotated dataset for German which covers the public debate on immigration in 2015.
Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates
Understanding the structures of political debates (which actors make what claims) is essential for understanding democratic political decision making.
An Environment for Relational Annotation of Political Debates
This paper describes the MARDY corpus annotation environment developed for a collaboration between political science and computational linguistics.
