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Steffen Eger
Steffen Eger
Full Professor, University of Technology Nuremberg UTN
Bestätigte E-Mail-Adresse bei utn.de
Titel
Zitiert von
Zitiert von
Jahr
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
6612019
Neural end-to-end learning for computational argumentation mining
S Eger, J Daxenberger, I Gurevych
ACL 2017, 2017
2422017
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
1862019
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
1772019
SUPERT: Towards new frontiers in unsupervised evaluation metrics for multi-document summarization
Y Gao, W Zhao, S Eger
arXiv preprint arXiv:2005.03724, 2020
1602020
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
144*2024
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
1372018
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
1372018
What is the essence of a claim? cross-domain claim identification
J Daxenberger, S Eger, I Habernal, C Stab, I Gurevych
EMNLP 2017, 2017
1262017
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks
S Eger, P Youssef, I Gurevych
EMNLP, 2018
123*2018
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
882022
Multi-Task Learning for Argumentation Mining in Low-Resource Settings
C Schulz, S Eger, J Daxenberger, T Kahse, I Gurevych
NAACL 2018, 2018
852018
On the linearity of semantic change: Investigating meaning variation via dynamic graph models
S Eger, A Mehler
ACL 2016, 2016
782016
Findings of the WMT 2022 Shared Task on Quality Estimation
C Zerva, F Blain, R Rei, P Lertvittayakumjorn, JGC de Souza, S Eger, ...
762022
Does My Rebuttal Matter? Insights from a Major NLP Conference
Y Gao, S Eger, I Kuznetsov, I Gurevych, Y Miyao
NAACL, 2019
732019
Restricted weighted integer compositions and extended binomial coefficients
S Eger
J. Integer Seq 16 (13.1), 3, 2013
702013
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
682018
Inducing language-agnostic multilingual representations
W Zhao, S Eger, J Bjerva, I Augenstein
*SEM, 2021
662021
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
662020
Missing information, unresponsive authors, experimental flaws: The impossibility of assessing the reproducibility of previous human evaluations in NLP
A Belz, C Thomson, E Reiter, G Abercrombie, JM Alonso-Moral, M Arvan, ...
arXiv preprint arXiv:2305.01633, 2023
52*2023
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