| MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance W Zhao, M Peyrard, F Liu, Y Gao, CM Meyer, S Eger arXiv preprint arXiv:1909.02622, 2019 | 538 | 2019 |
| Neural end-to-end learning for computational argumentation mining S Eger, J Daxenberger, I Gurevych ACL 2017, 2017 | 218 | 2017 |
| Towards scalable and reliable capsule networks for challenging NLP applications W Zhao, H Peng, S Eger, E Cambria, M Yang arXiv preprint arXiv:1906.02829, 2019 | 167 | 2019 |
| Text processing like humans do: Visually attacking and shielding NLP systems S Eger, GG Şahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ... arXiv preprint arXiv:1903.11508, 2019 | 161 | 2019 |
| SUPERT: Towards new frontiers in unsupervised evaluation metrics for multi-document summarization Y Gao, W Zhao, S Eger arXiv preprint arXiv:2005.03724, 2020 | 139 | 2020 |
| Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations A Rücklé, S Eger, M Peyrard, I Gurevych arXiv preprint arXiv:1803.01400, 2018 | 133 | 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 | 123 | 2018 |
| What is the essence of a claim? cross-domain claim identification J Daxenberger, S Eger, I Habernal, C Stab, I Gurevych EMNLP 2017, 2017 | 121 | 2017 |
| Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks S Eger, P Youssef, I Gurevych EMNLP, 2018 | 113* | 2018 |
| Chatgpt: A meta-analysis after 2.5 months C Leiter, R Zhang, Y Chen, J Belouadi, D Larionov, V Fresen, S Eger Machine Learning with Applications 16, 100541, 2024 | 99 | 2024 |
| Multi-Task Learning for Argumentation Mining in Low-Resource Settings C Schulz, S Eger, J Daxenberger, T Kahse, I Gurevych NAACL 2018, 2018 | 84 | 2018 |
| On the linearity of semantic change: Investigating meaning variation via dynamic graph models S Eger, A Mehler ACL 2016, 2016 | 73 | 2016 |
| Does My Rebuttal Matter? Insights from a Major NLP Conference Y Gao, S Eger, I Kuznetsov, I Gurevych, Y Miyao NAACL, 2019 | 68* | 2019 |
| Restricted weighted integer compositions and extended binomial coefficients S Eger J. Integer Seq 16 (13.1), 3, 2013 | 68 | 2013 |
| On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation W Zhao, G Glavaš, M Peyrard, Y Gao, R West, S Eger arXiv preprint arXiv:2005.01196, 2020 | 60 | 2020 |
| Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! S Eger, J Daxenberger, C Stab, I Gurevych Coling 2018, 2018 | 57 | 2018 |
| Inducing language-agnostic multilingual representations W Zhao, S Eger, J Bjerva, I Augenstein *SEM, 2021 | 56 | 2021 |
| Findings of the WMT 2022 Shared Task on Quality Estimation C Zerva, F Blain, R Rei, P Lertvittayakumjorn, JGC de Souza, S Eger, ... | 54 | 2022 |
| Short-term multi-hour ahead country-wide wind power prediction for Germany using gated recurrent unit deep learning S Farah, N Humaira, Z Aneela, E Steffen Renewable and Sustainable Energy Reviews 167, 112700, 2022 | 53 | 2022 |
| Still not there? comparing traditional sequence-to-sequence models to encoder-decoder neural networks on monotone string translation tasks C Schnober, S Eger, ELD Dinh, I Gurevych Coling 2016, 2016 | 46 | 2016 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, Abu Dhabi在 cs.tu-darmstadt.de 的电子邮件经过验证
