An Environment for Relational Annotation of Political Debates. - André Blessing; Nico Blokker; Sebastian Haunss; Jonas Kuhn; Gabriella Lapesa; Sebastian Padó (ACL (3), 2019)

Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates. - Sebastian Padó; André Blessing; Nico Blokker; Erenay Dayanik; Sebastian Haunss; Jonas Kuhn (ACL (1), 2019)

DEbateNet-mig15: Tracing the 2015 Immigration Debate in Germany Over Time. - Gabriella Lapesa; André Blessing; Nico Blokker; Erenay Dayanik; Sebastian Haunss; Jonas Kuhn; Sebastian Padó (LREC, 2020)

Analysis of Political Debates through Newspaper Reports: Methods and Outcomes. - Gabriella Lapesa; André Blessing; Nico Blokker; Erenay Dayanik; Sebastian Haunss; Jonas Kuhn; Sebastian Padó (Datenbank-Spektrum, 2020)

Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification. - Erenay Dayanik; André Blessing; Nico Blokker; Sebastian Haunss; Jonas Kuhn; Gabriella Lapesa; Sebastian Padó (SPNLP@ACL-IJCNLP, 2021)

Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports. - Nico Blokker; André Blessing; Erenay Dayanik; Jonas Kuhn; Sebastian Padó; Gabriella Lapesa (CoRR, 2021)

Improving Neural Political Statement Classification with Class Hierarchical Information. - Erenay Dayanik; André Blessing; Nico Blokker; Sebastian Haunss; Jonas Kuhn; Gabriella Lapesa; Sebastian Padó (ACL (Findings), 2022)

Optimizing text representations to capture (dis)similarity between political parties. - Tanise Ceron; Nico Blokker; Sebastian Padó (CoNLL, 2022)

Between welcome culture and border fence. - Nico Blokker; André Blessing; Erenay Dayanik; Jonas Kuhn; Sebastian Padó; Gabriella Lapesa (Lang. Resour. Evaluation, 2023)