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Journal Article reviewed

Dayanik, Erenay; Blessing, Andre; Blokker, Nico; Haunss, Sebastian; Kuhn, Jonas; Lapesa, Gabriella; Padó, Sebastian, 2021: Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification, in: Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP 2021), pp. 53 - 60, doi:10.18653/v1/2021.spnlp-1.6, 06.08.2021

Blokker, Nico; Dayanik, Erenay; Lapesa, Gabriella; Padó, Sebastian, 2020: Swimming with the Tide? Positional Claim Detection across Political Text Types, in: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, online, 20.11.2020, Link (Date: 23.11.2020)

Haunss, Sebastian; Kuhn, Jonas; Padó, Sebastian; Blessing, Andre; Blokker, Nico; Dayanik, Erenay; Lapesa, Gabriella, 2020: Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets, in: Politics and Governance, 8 (2), pp. 326 - 339, doi:10.17645/pag.v8i2.2591, 02.06.2020, Download PDF

Lapesa, Gabriella; Blessing, Andre; Blokker, Nico; Dayanik, Erenay; Haunss, Sebastian; Kuhn, Jonas; Padó, Sebastian, 2020: Analysis of Political Debates through Newspaper Reports: Methods and Outcomes, in: Datenbank-Spektrum, online, doi:10.1007/s13222-020-00344-w, 16.06.2020

Lapesa, Gabriella; Blessing, Andre; Blokker, Nico; Dayanik, Erenay; Haunss, Sebastian; Kuhn, Jonas; Padó, Sebastian, 2020: DEbateNet-mig15: Tracing the 2015 Immigration Debate in Germany Over Time, in: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pp. 919 - 927, 01.06.2020, Link (Date: 18.06.2020)

Blessing, Andre; Blokker, Nico; Haunss, Sebastian; Kuhn, Jonas; Lapesa, Gabriella; Padó, Sebastian, 2019: An Environment for Relational Annotation of Political Debates, in: Proceedings of the 57th Conference of the Association for Computational Linguistics: System Demonstrations, Online First, pp. 105 - 110, 29.07.2019, Download PDF, Link (Date: 29.07.2019)

Padó, Sebastian; Blessing, Andre; Blokker, Nico; Dayanik, Erenay; Haunss, Sebastian; Kuhn, Jonas, 2019: Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates, in: Proceedings of the 57th Conference of the Association for Computational Linguistics, pp. 2841 - 2847, 29.07.2019, Download PDF, Link (Date: 29.07.2019)

Grey Literature

Blokker, Nico; Blessing, Andre; Dayanik, Erenay; Kuhn, Jonas; Padó, Sebastian; Lapesa, Gabriella, 2021: Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports, Cornell University, <https://arxiv.org/abs/2111.10142> (Date: 22.11.2021)

Lecture

Blokker, Nico, 2020: The role of public discourse in the formation of party manifestos, How networks matter. Theoretical, methodological and empirical advances on network mechanisms and effects, University of Bremen, Bremen, Germany, 06.02.2020, Link (Date: 10.02.2020)

Haunss, Sebastian; Blokker, Nico, 2020: Semi-automatic construction of discourse networks from newspaper articles, Workshop "Words and Actions. Political text mining", Helsinki, Finland, Link (Date: 20.01.2020)

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