| A Retrospective Analysis of the Fake News Challenge Stance Detection Task A Hanselowski, A PVS, B Schiller, F Caspelherr, D Chaudhuri, CM Meyer, ... arXiv preprint arXiv:1806.05180, 2018 | 319 | 2018 |
| Classification and Clustering of Arguments with Contextualized Word Embeddings N Reimers, B Schiller, T Beck, J Daxenberger, C Stab, I Gurevych arXiv preprint arXiv:1906.09821, 2019 | 240 | 2019 |
| Cross-topic Argument Mining from Heterogeneous Sources C Stab, T Miller, B Schiller, P Rai, I Gurevych Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 234* | 2018 |
| UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification A Hanselowski, H Zhang, Z Li, D Sorokin, B Schiller, C Schulz, I Gurevych arXiv preprint arXiv:1809.01479, 2018 | 230 | 2018 |
| ArgumenText: Searching for Arguments in Heterogeneous Sources C Stab, J Daxenberger, C Stahlhut, T Miller, B Schiller, C Tauchmann, ... Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 134 | 2018 |
| Stance detection benchmark: How robust is your stance detection? B Schiller, J Daxenberger, I Gurevych KI-Künstliche Intelligenz 35 (3), 329-341, 2021 | 101 | 2021 |
| Aspect-Controlled Neural Argument Generation B Schiller, J Daxenberger, I Gurevych arXiv preprint arXiv:2005.00084, 2020 | 77 | 2020 |
| Description of the system developed by team athene in the fnc-1 A Hanselowski, PVS Avinesh, B Schiller, F Caspelherr Technical Report. Technical report, 2017 | 41* | 2017 |
| ArgumenText: Argument Classification and Clustering in a Generalized Search Scenario J Daxenberger, B Schiller, C Stahlhut, E Kaiser, I Gurevych Datenbank-Spektrum, 1-7, 2020 | 32 | 2020 |
| Team Athene on the Fake News Challenge A Hanselowski, PVS Avinesh, B Schiller, F Caspelherr Medium, 2017 | 14 | 2017 |
| Focusing Knowledge-based Graph Argument Mining via Topic Modeling P Abels, Z Ahmadi, S Burkhardt, B Schiller, I Gurevych, S Kramer arXiv preprint arXiv:2102.02086, 2021 | 11 | 2021 |
| Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets B Schiller, J Daxenberger, A Waldis, I Gurevych Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 2* | 2024 |
| Multilingual UKP Sentential Argument Mining Corpus C Stab, T Miller, P Rai, B Schiller, I Gurevych, S Eger, J Daxenberger | | 2020 |
| Training Data for Aspect-Controlled Neural Argument Generation B Schiller, I Gurevych, J Daxenberger | | 2020 |
| Weights for Aspect-Controlled Neural Argument Generation B Schiller, J Daxenberger, I Gurevych | | 2020 |
| Fine-tuned model weights for Stance Detection Benchmark System B Schiller, J Daxenberger, I Gurevych | | 2019 |
| UKP Sentential Argument Mining Corpus C Stab, T Miller, P Rai, B Schiller, I Gurevych | | 2018 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaVerified email at cs.tu-darmstadt.de
