Who sides with whom? towards computational construction of discourse networks for political debates S Padó, A Blessing, N Blokker, E Dayanik, S Haunss, J Kuhn Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 32 | 2019 |
Masking actor information leads to fairer political claims detection E Dayanik, S Padó Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 27 | 2020 |
Integrating manual and automatic annotation for the creation of discourse network data sets S Haunss, J Kuhn, S Padó, A Blessing, N Blokker, E Dayanik, G Lapesa, ... Politics and Governance 8 (2), 326-339, 2020 | 21 | 2020 |
Morphological Analysis Using a Sequence Decoder E Akyürek, E Dayanık, D Yuret Transactions of the Association for Computational Linguistics 7, 567-579, 2019 | 20 | 2019 |
DEbateNet-mig15: tracing the 2015 immigration debate in Germany over time G Lapesa, A Blessing, N Blokker, E Dayanik, S Haunss, J Kuhn, S Padó Proceedings of The 12th Language Resources and Evaluation Conference, 919-927, 2020 | 19 | 2020 |
Morphnet: A sequence-to-sequence model that combines morphological analysis and disambiguation E Dayanık, E Akyürek, D Yuret arXiv preprint arXiv:1805.07946, 2018 | 13 | 2018 |
Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing E Dayanık, S Padó Proceedings of the Eleventh Workshop on Computational Approaches to …, 2021 | 12 | 2021 |
Improving Neural Political Statement Classification with Class Hierarchical Information E Dayanık, A Blessing, N Blokker, S Haunss, J Kuhn, G Lapesa, S Padó Findings of the Association for Computational Linguistics: ACL 2022, 2367-2382, 2022 | 8 | 2022 |
Swimming with the Tide? Positional Claim Detection across Political Text Types N Blokker, E Dayanik, G Lapesa, S Padó Proceedings of the Fourth Workshop on Natural Language Processing and …, 2020 | 8 | 2020 |
Tree-stack LSTM in Transition Based Dependency Parsing Ö Kırnap, E Dayanık, D Yuret Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw …, 2018 | 8 | 2018 |
Analysis of Political Debates through Newspaper Reports: Methods and Outcomes G Lapesa, A Blessing, N Blokker, E Dayanik, S Haunss, J Kuhn, S Padó Datenbank-Spektrum 20 (2), 143-153, 2020 | 7 | 2020 |
Between welcome culture and border fence: A dataset on the European refugee crisis in German newspaper reports N Blokker, A Blessing, E Dayanik, J Kuhn, S Padó, G Lapesa Language Resources and Evaluation 57 (1), 121-153, 2023 | 5 | 2023 |
Analysis of Bias in NLP Models With Regression and Effect Sizes E Dayanik, NT Vu, S Padó Northern European Journal of Language Technology 8 (1), 2022 | 3* | 2022 |
Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT O Mutlu, OA Can, E Dayanik Proceedings of the 13th International Workshop on Semantic Evaluation, 1007-1011, 2019 | 3 | 2019 |
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification E Dayanık, A Blessing, N Blokker, S Haunss, J Kuhn, G Lapesa, S Padó Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP 2021 …, 2021 | 1 | 2021 |
Why Justifications of Claims Matter for Understanding Party Positions N Blokker, T Ceron, A Blessing, E Dayanik, S Haunss, J Kuhn, G Lapesa, ... | 1* | |
An empirical study on many-to-many simultaneous machine translation E Dayanik, R Xue, CYF Chang | | 2022 |