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2020 – today
- 2024
[j18]Vladyslav Nechakhin
, Jennifer D'Souza, Steffen Eger:
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. Inf. 15(6): 328 (2024)- [j17]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Machine Translation. J. Mach. Learn. Res. 25: 75:1-75:49 (2024) - [c71]Andy Lücking, Giuseppe Abrami, Leon Hammerla, Marc Rahn, Daniel Baumartz, Steffen Eger, Alexander Mehler:
Dependencies over Times and Tools (DoTT). LREC/COLING 2024: 4641-4653 - [c70]Christoph Leiter, Hoa Nguyen, Steffen Eger:
BMX: Boosting Natural Language Generation Metrics with Explainability. EACL (Findings) 2024: 2274-2288 - [c69]Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger:
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates. EMNLP 2024: 5884-5907 - [c68]Christoph Leiter, Steffen Eger:
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. EMNLP 2024: 11481-11506 - [c67]Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger:
Evaluating Diversity in Automatic Poetry Generation. EMNLP 2024: 19671-19692 - [c66]Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger:
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. EMNLP 2024: 21934-21949 - [c65]Jonas Belouadi, Anne Lauscher, Steffen Eger:
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ. ICLR 2024 - [i73]Hoa Nguyen, Steffen Eger:
Is there really a Citation Age Bias in NLP? CoRR abs/2401.03545 (2024) - [i72]Yanran Chen, Wei Zhao, Anne Breitbarth, Manuel Stoeckel, Alexander Mehler, Steffen Eger:
Syntactic Language Change in English and German: Metrics, Parsers, and Convergences. CoRR abs/2402.11549 (2024) - [i71]Vladyslav Nechakhin, Jennifer D'Souza, Steffen Eger:
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. CoRR abs/2405.02105 (2024) - [i70]Jonas Belouadi, Simone Paolo Ponzetto, Steffen Eger:
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ. CoRR abs/2405.15306 (2024) - [i69]Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger:
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. CoRR abs/2406.14553 (2024) - [i68]Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger:
Evaluating Diversity in Automatic Poetry Generation. CoRR abs/2406.15267 (2024) - [i67]Christoph Leiter, Steffen Eger:
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation. CoRR abs/2406.18528 (2024) - [i66]Ran Zhang, Steffen Eger:
LLM-based multi-agent poetry generation in non-cooperative environments. CoRR abs/2409.03659 (2024) - [i65]Ran Zhang, Wei Zhao, Steffen Eger:
How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs. CoRR abs/2410.18697 (2024) - 2023
- [j16]Yanran Chen, Steffen Eger:
MENLI: Robust Evaluation Metrics from Natural Language Inference. Trans. Assoc. Comput. Linguistics 11: 804-825 (2023) - [c64]Cleo Matzken, Steffen Eger, Ivan Habernal:
Trade-Offs Between Fairness and Privacy in Language Modeling. ACL (Findings) 2023: 6948-6969 - [c63]Jonas Belouadi, Steffen Eger:
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models. ACL (1) 2023: 7364-7381 - [c62]Jonas Belouadi, Steffen Eger:
UScore: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation. EACL 2023: 358-374 - [c61]Wei Zhao, Michael Strube, Steffen Eger:
DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence. EACL 2023: 3847-3865 - [c60]Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger:
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. EMNLP (Findings) 2023: 78-96 - [c59]Yanran Chen, Steffen Eger:
Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. Eval4NLP 2023: 62-84 - [c58]Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger:
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. Eval4NLP 2023: 117-138 - [c57]Daniil Larionov, Vasiliy Viskov, George Kokush, Alexander Panchenko, Steffen Eger:
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation. Eval4NLP 2023: 228-234 - [c56]Vasiliy Viskov, George Kokush, Daniil Larionov, Steffen Eger, Alexander Panchenko:
Semantically-Informed Regressive Encoder Score. WMT 2023: 815-821 - [e4]Daniel Deutsch, Rotem Dror, Steffen Eger, Yang Gao, Christoph Leiter, Juri Opitz, Andreas Rücklé:
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2023, Bali, Indonesia, November 1, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-021-9 [contents] - [i64]Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger:
ChatGPT: A Meta-Analysis after 2.5 Months. CoRR abs/2302.13795 (2023) - [i63]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i62]Cleo Matzken, Steffen Eger, Ivan Habernal:
Trade-Offs Between Fairness and Privacy in Language Modeling. CoRR abs/2305.14936 (2023) - [i61]Gil Rocha, Henrique Lopes Cardoso, Jonas Belouadi, Steffen Eger:
Cross-Genre Argument Mining: Can Language Models Automatically Fill in Missing Discourse Markers? CoRR abs/2306.04314 (2023) - [i60]Ran Zhang, Jihed Ouni, Steffen Eger:
Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation. CoRR abs/2306.12916 (2023) - [i59]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Machine Translation. CoRR abs/2306.13041 (2023) - [i58]Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen:
NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? CoRR abs/2308.04889 (2023) - [i57]Jonas Belouadi, Anne Lauscher, Steffen Eger:
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ. CoRR abs/2310.00367 (2023) - [i56]Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger:
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. CoRR abs/2310.19792 (2023) - [i55]Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger:
NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? CoRR abs/2312.05688 (2023) - 2022
- [j15]Steffen Eger, Dan Liu, Daniela Grunow:
Measuring Social Solidarity During Crisis: The Role of Design Choices. J. Soc. Comput. 3(2): 139-157 (2022) - [c55]Wei Zhao, Steffen Eger:
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. ACML 2022: 1245-1260 - [c54]Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger:
Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust? COLING 2022: 3401-3411 - [c53]Yanran Chen, Jonas Belouadi, Steffen Eger:
Reproducibility Issues for BERT-based Evaluation Metrics. EMNLP 2022: 2965-2989 - [c52]Chrysoula Zerva, Frédéric Blain, Ricardo Rei, Piyawat Lertvittayakumjorn, José G. C. de Souza, Steffen Eger, Diptesh Kanojia, Duarte M. Alves, Constantin Orasan, Marina Fomicheva, André F. T. Martins, Lucia Specia:
Findings of the WMT 2022 Shared Task on Quality Estimation. WMT 2022: 69-99 - [e3]Daniel Deutsch, Can Udomcharoenchaikit, Juri Opitz, Yang Gao, Marina Fomicheva, Steffen Eger:
Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2022, Online, November 20, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-00-5 [contents] - [i54]Wei Zhao, Michael Strube, Steffen Eger:
DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence. CoRR abs/2201.11176 (2022) - [i53]Wei Zhao, Steffen Eger:
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. CoRR abs/2201.13429 (2022) - [i52]Jonas Belouadi, Steffen Eger:
USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation. CoRR abs/2202.10062 (2022) - [i51]Dominik Beese, Begüm Altunbas, Görkem Güzeler, Steffen Eger:
Detecting Stance in Scientific Papers: Did we get more Negative Recently? CoRR abs/2202.13610 (2022) - [i50]Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger:
Towards Explainable Evaluation Metrics for Natural Language Generation. CoRR abs/2203.11131 (2022) - [i49]Yanran Chen, Jonas Belouadi, Steffen Eger:
Reproducibility Issues for BERT-based Evaluation Metrics. CoRR abs/2204.00004 (2022) - [i48]Yanran Chen, Steffen Eger:
MENLI: Robust Evaluation Metrics from Natural Language Inference. CoRR abs/2208.07316 (2022) - [i47]Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger:
Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust? CoRR abs/2209.02317 (2022) - [i46]Jens Grünwald, Christoph Leiter, Steffen Eger:
Can we do that simpler? Simple, Efficient, High-Quality Evaluation Metrics for NLG. CoRR abs/2209.09593 (2022) - [i45]Dominik Beese, Ole Pütz, Steffen Eger:
FairGer: Using NLP to Measure Support for Women and Migrants in 155 Years of German Parliamentary Debates. CoRR abs/2210.04359 (2022) - [i44]Christoph Leiter, Hoa Nguyen, Steffen Eger:
BMX: Boosting Machine Translation Metrics with Explainability. CoRR abs/2212.10469 (2022) - [i43]Jonas Belouadi, Steffen Eger:
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models. CoRR abs/2212.10474 (2022) - [i42]Yanran Chen, Steffen Eger:
Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. CoRR abs/2212.10522 (2022) - 2021
- [j14]Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger:
Graph routing between capsules. Neural Networks 143: 345-354 (2021) - [c51]Yannik Keller, Jan Mackensen, Steffen Eger:
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks. ACL/IJCNLP (Findings) 2021: 1616-1629 - [c50]Alexandra Ils, Dan Liu, Daniela Grunow, Steffen Eger:
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset. ACL/IJCNLP (1) 2021: 1623-1637 - [c49]Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West:
Better than Average: Paired Evaluation of NLP systems. ACL/IJCNLP (1) 2021: 2301-2315 - [c48]Marvin Kaster, Wei Zhao, Steffen Eger:
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors. EMNLP (1) 2021: 8912-8925 - [c47]Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, Steffen Eger, Yang Gao:
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results. Eval4NLP 2021: 165-178 - [c46]Christian Richter, Yanran Chen, Steffen Eger:
TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation. INLG 2021: 301-307 - [c45]Tobias Walter, Celina Kirschner, Steffen Eger, Goran Glavas, Anne Lauscher, Simone Paolo Ponzetto:
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases. JCDL 2021: 51-60 - [c44]Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein:
Inducing Language-Agnostic Multilingual Representations. *SEM 2021: 229-240 - [c43]Gregor Geigle, Jonas Stadtmüller, Wei Zhao, Jonas Pfeiffer, Steffen Eger:
TUDa at WMT21: Sentence-Level Direct Assessment with Adapters. WMT@EMNLP 2021: 911-919 - [e2]Yang Gao, Steffen Eger, Wei Zhao, Piyawat Lertvittayakumjorn, Marina Fomicheva:
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2021, Punta Cana, Dominican Republic, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-88-6 [contents] - [i41]Yannik Keller, Jan Mackensen, Steffen Eger:
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks. CoRR abs/2106.01452 (2021) - [i40]Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger:
Graph Routing between Capsules. CoRR abs/2106.11531 (2021) - [i39]Alexandra Ils, Dan Liu, Daniela Grunow, Steffen Eger:
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset. CoRR abs/2108.01042 (2021) - [i38]Tobias Walter, Celina Kirschner, Steffen Eger, Goran Glavas, Anne Lauscher, Simone Paolo Ponzetto:
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases. CoRR abs/2108.06295 (2021) - [i37]Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, Steffen Eger, Yang Gao:
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results. CoRR abs/2110.04392 (2021) - [i36]Marvin Kaster, Wei Zhao, Steffen Eger:
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors. CoRR abs/2110.04399 (2021) - [i35]Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West:
Better than Average: Paired Evaluation of NLP Systems. CoRR abs/2110.10746 (2021) - 2020
- [c42]Yang Gao, Wei Zhao, Steffen Eger:
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization. ACL 2020: 1347-1354 - [c41]Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger:
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. ACL 2020: 1656-1671 - [c40]Taraka Rama, Lisa Beinborn, Steffen Eger:
Probing Multilingual BERT for Genetic and Typological Signals. COLING 2020: 1214-1228 - [c39]Martin Kerscher, Steffen Eger:
Vec2Sent: Probing Sentence Embeddings with Natural Language Generation. COLING 2020: 1729-1736 - [c38]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoNLL 2020: 108-118 - [c37]Steffen Eger, Yannik Benz:
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks. AACL/IJCNLP 2020: 786-803 - [c36]Thomas N. Haider, Steffen Eger, Evgeny Kim, Roman Klinger, Winfried Menninghaus:
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. LREC 2020: 1652-1663 - [c35]David Rother, Thomas N. Haider, Steffen Eger:
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts. SemEval@COLING 2020: 187-193 - [c34]Nathaniel Weir, Prasetya Ajie Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Ugur Çetintemel, Carsten Binnig:
DBPal: A Fully Pluggable NL2SQL Training Pipeline. SIGMOD Conference 2020: 2347-2361 - [e1]Steffen Eger, Yang Gao, Maxime Peyrard, Wei Zhao, Eduard H. Hovy:
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-82-8 [contents] - [i34]Thomas N. Haider, Steffen Eger, Evgeny Kim, Roman Klinger, Winfried Menninghaus:
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. CoRR abs/2003.07723 (2020) - [i33]Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger:
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. CoRR abs/2005.01196 (2020) - [i32]Yang Gao, Wei Zhao, Steffen Eger:
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization. CoRR abs/2005.03724 (2020) - [i31]Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation. CoRR abs/2006.09109 (2020) - [i30]Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein:
Inducing Language-Agnostic Multilingual Representations. CoRR abs/2008.09112 (2020) - [i29]Steffen Eger, Yannik Benz:
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks. CoRR abs/2010.05648 (2020) - [i28]Martin Kerscher, Steffen Eger:
Vec2Sent: Probing Sentence Embeddings with Natural Language Generation. CoRR abs/2011.00592 (2020) - [i27]Taraka Rama, Lisa Beinborn, Steffen Eger:
Probing Multilingual BERT for Genetic and Typological Signals. CoRR abs/2011.02070 (2020)
2010 – 2019
- 2019
- [j13]Rüdiger Gleim, Steffen Eger, Alexander Mehler, Tolga Uslu, Wahed Hemati, Andy Lücking, Alexander Henlein, Sven Kahlsdorf, Armin Hoenen:
Practitioner's view: A comparison and a survey of lemmatization and morphological tagging in German and Latin. J. Lang. Model. 7(1): 1-52 (2019) - [c33]Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang:
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. ACL (1) 2019: 1549-1559 - [c32]Thomas N. Haider, Steffen Eger:
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. LChange@ACL 2019: 216-222 - [c31]Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger:
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. EMNLP/IJCNLP (1) 2019: 563-578 - [c30]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. NAACL-HLT (1) 2019: 1274-1290 - [c29]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. NAACL-HLT (1) 2019: 1634-1647 - [c28]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. RepL4NLP@ACL 2019: 55-60 - [i26]Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. CoRR abs/1901.02671 (2019) - [i25]Steffen Eger, Chao Li, Florian Netzer, Iryna Gurevych:
Predicting Research Trends From Arxiv. CoRR abs/1903.02831 (2019) - [i24]Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. CoRR abs/1903.11367 (2019) - [i23]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. CoRR abs/1903.11508 (2019) - [i22]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. CoRR abs/1906.01575 (2019) - [i21]Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang:
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. CoRR abs/1906.02829 (2019) - [i20]Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger:
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. CoRR abs/1909.02622 (2019) - [i19]Nathaniel Weir, Andrew Crotty, Alex Galakatos, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Ugur Çetintemel, Prasetya Ajie Utama, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Carsten Binnig:
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases. CoRR abs/1909.06182 (2019) - [i18]Thomas N. Haider, Steffen Eger:
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. CoRR abs/1909.12136 (2019) - 2018
- [c27]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection. ArgMining@EMNLP 2018: 131-143 - [c26]Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! COLING 2018: 831-844 - [c25]Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych:
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection. COLING 2018: 1558-1569 - [c24]Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. EMNLP 2018: 4415-4424 - [c23]Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych:
One Size Fits All? A simple LSTM for non-literal token and construction-level classification. LaTeCH@COLING 2018: 70-80 - [c22]Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, Iryna Gurevych:
ArgumenText: Searching for Arguments in Heterogeneous Sources. NAACL-HLT (Demonstrations) 2018: 21-25 - [c21]Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych:
Multi-Task Learning for Argumentation Mining in Low-Resource Settings. NAACL-HLT (2) 2018: 35-41 - [i17]Andreas Rücklé, Steffen Eger, Maxime Peyrard, Iryna Gurevych:
Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations. CoRR abs/1803.01400 (2018) - [i16]Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych:
Multi-Task Learning for Argumentation Mining in Low-Resource Settings. CoRR abs/1804.04083 (2018) - [i15]Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! CoRR abs/1807.08998 (2018) - 2017
- [c20]