no code implementations • EACL (WASSA) 2021 • Erenay Dayanik, Sebastian Padó
Text classification is a central tool in NLP.
no code implementations • ACL (spnlp) 2021 • Erenay Dayanik, Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, Sebastian Padó
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”).
no code implementations • EMNLP (NLP+CSS) 2020 • Nico Blokker, Erenay Dayanik, Gabriella Lapesa, Sebastian Padó
Manifestos are official documents of political parties, providing a comprehensive topical overview of the electoral programs.
no code implementations • Findings (ACL) 2022 • Erenay Dayanik, Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, Sebastian Pado
Many tasks in text-based computational social science (CSS) involve the classification of political statements into categories based on a domain-specific codebook.
no code implementations • 19 Nov 2021 • Nico Blokker, André Blessing, Erenay Dayanik, Jonas Kuhn, Sebastian Padó, Gabriella Lapesa
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).
no code implementations • ACL 2020 • Erenay Dayanik, Sebastian Pad{\'o}
A central concern in Computational Social Sciences (CSS) is fairness: where the role of NLP is to scale up text analysis to large corpora, the quality of automatic analyses should be as independent as possible of textual properties.
no code implementations • LREC 2020 • Gabriella Lapesa, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn, Sebastian Pad{\'o}
DEbateNet-migr15 is a manually annotated dataset for German which covers the public debate on immigration in 2015.
1 code implementation • ACL 2019 • Sebastian Pad{\'o}, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn
Understanding the structures of political debates (which actors make what claims) is essential for understanding democratic political decision making.
no code implementations • SEMEVAL 2019 • Osman Mutlu, Ozan Arkan Can, Erenay Dayanik
This paper describes our system for SemEval-2019 Task 4: Hyperpartisan News Detection (Kiesel et al., 2019).
2 code implementations • TACL 2019 • Ekin Akyürek, Erenay Dayanik, Deniz Yuret
Our Morse implementation and the TrMor2018 dataset are available online to support future research\footnote{See \url{https://github. com/ai-ku/Morse. jl} for a Morse implementation in Julia/Knet \cite{knet2016mlsys} and \url{https://github. com/ai-ku/TrMor2018} for the new Turkish dataset.