Understanding the structures of political debates (which actors make what claims) is
essential for understanding democratic political decision making. The vision of …

Abstract Language is the medium for many political activities, from campaigns to news
reports. Natural language processing (NLP) uses computational tools to parse text into key …

DEbateNet-migr15 is a manually annotated dataset for German which covers the public
debate on immigration in 2015. The building block of our annotation is the political science …

This article investigates the integration of machine learning in the political claim annotation
workflow with the goal to partially automate the annotation and analysis of large text corpora …

Annotation of political discourse is resource-intensive, but recent developments in NLP
promise to automate complex annotation tasks. Fine-tuned transformer-based models …

Argument mining aims to automatically extract structured argumentative information existing
in natural language text, and it is commonly performed by machine and deep learning …

Newspaper reports provide a rich source of information on the unfolding of public debates,
which can serve as basis for inquiry in political science. Such debates are often triggered by …

Newspaper reports provide a rich source of information on the unfolding of public debate on
specific policy fields that can serve as basis for inquiry in political science. Such debates are …

Discourse network analysis is an aspiring development in political science which analyzes
political debates in terms of bipartite actor/claim networks. It aims at understanding the …

English abstract Politics has significant impacts on our daily lives. It influences laws, policies,
and resources allocation. The Internet and social media confront readers with an …