Steffen Eger

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Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaVerified email at cs.tu-darmstadt.de
Wei ZhaoLecturer, University of AberdeenVerified email at abdn.ac.uk
Maxime PeyrardUniversité Grenoble AlpesVerified email at univ-grenoble-alpes.fr
Yang GaoGoogle ResearchVerified email at google.com
Johannes Daxenbergerformerly Ubiquitous Knowledge Processing (UKP) Lab, TU Darmstadt, now summetix GmbHVerified email at summetix.com
Alexander MehlerProfessor of Computer Science, Goethe University Frankfurt am MainVerified email at em.uni-frankfurt.de
Andreas RückléAmazonVerified email at amazon.com
Christian Stabformerly UKP Lab, Technische Universität DarmstadtVerified email at ukp.informatik.tu-darmstadt.de
Piyawat LertvittayakumjornGoogleVerified email at google.com
Marina FomichevaUniversity of Sheffield, Department of Computer ScienceVerified email at sheffield.ac.uk
Tristan MillerUniversity of ManitobaVerified email at umanitoba.ca
Goran GlavašProfessor of Computer Science (Chair for Natural Language Processing), University of WürzburgVerified email at uni-wuerzburg.de
Robert WestEPFLVerified email at epfl.ch
Simone Paolo PonzettoProfessor of Information Systems, University of MannheimVerified email at uni-mannheim.de
Daniela GrunowProfessorin der SoziologieVerified email at soz.uni-frankfurt.de
Isabelle AugensteinFull Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Roman KlingerProfessor for Fundamentals of Natural Language Processing, University of BambergVerified email at uni-bamberg.de

Steffen Eger

Full Professor, University of Technology Nuremberg

Verified email at utn.de

Evaluation Metrics Natural Language Processing Deep Learning Computational Social Science


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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	585	2019
Neural end-to-end learning for computational argumentation mining S Eger, J Daxenberger, I Gurevych ACL 2017, 2017	226	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	174	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	173	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	149	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	130	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	123	2017
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	121*	2024
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks S Eger, P Youssef, I Gurevych EMNLP, 2018	117*	2018
Multi-Task Learning for Argumentation Mining in Low-Resource Settings C Schulz, S Eger, J Daxenberger, T Kahse, I Gurevych NAACL 2018, 2018	83	2018
On the linearity of semantic change: Investigating meaning variation via dynamic graph models S Eger, A Mehler ACL 2016, 2016	76	2016
Does My Rebuttal Matter? Insights from a Major NLP Conference Y Gao, S Eger, I Kuznetsov, I Gurevych, Y Miyao NAACL, 2019	72	2019
Restricted weighted integer compositions and extended binomial coefficients S Eger J. Integer Seq 16 (13.1), 3, 2013	70	2013
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	68	2022
Findings of the WMT 2022 Shared Task on Quality Estimation C Zerva, F Blain, R Rei, P Lertvittayakumjorn, JGC de Souza, S Eger, ...	65	2022
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	65	2018
Inducing language-agnostic multilingual representations W Zhao, S Eger, J Bjerva, I Augenstein *SEM, 2021	62	2021
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	61	2020
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	49	2016

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