2020

Eger, Steffen ; Daxenberger, Johannes ; Gurevych, Iryna (2020):
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation.
In: Proceedings of the 24th Conference on Computational Natural Language Learning, S. 108-118,
ACL, 24th Conference on Computational Natural Language Learning (CoNLL 2020), virtual Conference, 19.-20.11., ISBN 978-1-952148-63-7,
[Konferenzveröffentlichung]

Haider, Thomas ; Eger, Steffen ; Kim, Evgeny ; Klinger, Roman ; Menninghaus, Winfried (2020):
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry.
Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC'20), Marseille, France, [Konferenzveröffentlichung]

Gao, Yang ; Zhao, Wei ; Eger, Steffen (2020):
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization.
ACL'20: 58th Annual Meeting of the Association for Computational Linguistics, virtual Conference, 05.-10.07, [Konferenzveröffentlichung]

Zhao, Wei ; Glava\v, Goran ; Peyrard, Maxime ; Gao, Yang ; West, Robert ; Eger, Steffen (2020):
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation.
ACL'20: 58th Annual Meeting of the Association for Computational Linguistics, virtual Conference, 05.-10.07, [Konferenzveröffentlichung]

2019

Zhao, Wei ; Gao, Yang ; Eger, Steffen (2019):
Evaluating Machine Translation without Human References Using Cross-lingual Encoders.
The first annual EurNLP summit, Facebook London, London, United Kingdom, 11.10.2019, [Konferenzveröffentlichung]

Weir, Nathaniel ; Crotty, Andrew ; Galakatos, Alex ; Ilkhechi, Amir ; Ramaswamy, Shekar ; Bhushan, Rohin ; Cetintemel, Ugur ; Utama, Prasetya ; Geisler, Nadja ; Hättasch, Benjamin ; Eger, Steffen ; Binnig, Carsten (2019):
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases.
Los Angeles, California, USA, 1st International Workshop on Conversational Access to Data (CAST) in conj. with the 45th International Conference on Very Large Data Bases (VLDB), Los Angeles, California, USA, [Konferenzveröffentlichung]

Gleim, Rüdiger ; Eger, Steffen ; Mehler, Alexander ; Uslu, Tolga ; Hemati, Wahed ; Lücking, Andy ; Henlein, Alexander ; Kahlsdorf, Sven ; Hoenen, Armin (2019):
A practitioner’s view: a survey and comparison of lemmatization and morphological tagging in German and Latin.
In: Journal of Language Modeling, 7 (1), S. 1-52. ISSN 2299-8470,
DOI: 10.15398/jlm.v7i1.205,
[Artikel]

Zhao, Wei ; Peyrard, Maxime ; Liu, Fei ; Gao, Yang ; Meyer, Christian M. ; Eger, Steffen (2019):
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.
The 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, 03.11.2019-07.11.2019, [Konferenzveröffentlichung]

Haider, Thomas ; Eger, Steffen (2019):
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry.
Florence, 1st International Workshop on Computational Approaches to Historical Language Change 2019, Florence, Italy, August 2, 2019, [Konferenzveröffentlichung]

Eger, Steffen ; Rücklé, Andreas ; Gurevych, Iryna (2019):
Pitfalls in the Evaluation of Sentence Embeddings.
S. 55-60, Florence, Italy, The 4th Workshop on Representation Learning for NLP (Repl4NLP 2019), Florence, Italy, 2 August 2019, [Konferenzveröffentlichung]

Gao, Yang ; Eger, Steffen ; Kuznetsov, Ilia ; Gurevych, Iryna ; Miyao, Yusuke (2019):
Does My Rebuttal Matter? Insights from a Major NLP Conference.
S. 1274-1290, Minneapolis, USA, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019-07.10.2019, [Konferenzveröffentlichung]

Zhao, Wei ; Peng, Haiyun ; Eger, Steffen ; Cambria, Eric ; Yang, Min (2019):
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications.
In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics,
Florence, Italy, 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, Jul 28, 2019 - Aug 2, 2019, [Konferenzveröffentlichung]

Eger, Steffen ; Şahin, Gözde Gül ; Rücklé, Andreas ; Lee, Ji-Ung ; Schulz, Claudia ; Mesgar, Mohsen ; Swarnkar, Krishnkant ; Simpson, Edwin ; Gurevych, Iryna (2019):
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, S. 1634-1647,
Minneapolis, USA, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019--07.10.2019, [Konferenzveröffentlichung]

2018

Eger, Steffen ; Li, Chao ; Netzer, Florian ; Gurevych, Iryna (2018):
Predicting Research Trends From Arxiv.
1st Workshop on Reframing Research, Cologne, 05.12.2018, [Konferenzveröffentlichung]

Eger, Steffen ; Youssef, Paul ; Gurevych, Iryna (2018):
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks.
Long Papers, In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing,
The 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31.10.2018---04.11.2018, [Konferenzveröffentlichung]

Eger, Steffen ; Rücklé, Andreas ; Gurevych, Iryna (2018):
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection.
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing,
5th Workshop on Argument Mining, Brussels, Belgium, 31.10.2018, [Konferenzveröffentlichung]

Do Dinh, Erik-Lân ; Eger, Steffen ; Gurevych, Iryna (2018):
One Size Fits All? A Simple LSTM for Non-literal Token- and Construction-level Classification.
In: Proceedings of LaTeCH-CLfL 2018, S. 70-80,
LaTeCH-CLfL 2018, Santa Fe, NM, USA, 25.08.2018, [Konferenzveröffentlichung]

Stab, Christian ; Daxenberger, Johannes ; Stahlhut, Chris ; Miller, Tristan ; Schiller, Benjamin ; Tauchmann, Christopher ; Eger, Steffen ; Gurevych, Iryna (2018):
ArgumenText: Searching for Arguments in Heterogeneous Sources.
In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations, S. 21-25,
The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 01.06.2018--06.06.2018, [Konferenzveröffentlichung]

Eger, Steffen ; Daxenberger, Johannes ; Stab, Christian ; Gurevych, Iryna (2018):
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
In: Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), S. 831-844,
The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, USA, 20.08.2018--26.08.2018, [Konferenzveröffentlichung]

Schulz, Claudia ; Eger, Steffen ; Daxenberger, Johannes ; Kahse, Tobias ; Gurevych, Iryna (2018):
Multi-Task Learning for Argumentation Mining in Low-Resource Settings.
In: Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, S. 35-41,
Association for Computational Linguistics, New Orleans, USA, [Konferenzveröffentlichung]

Do Dinh, Erik-Lân ; Eger, Steffen ; Gurevych, Iryna (2018):
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection.
In: Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), S. 1558-1569,
The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM, USA, 20.08.2018--26.08.2018, [Konferenzveröffentlichung]

Rücklé, Andreas ; Eger, Steffen ; Peyrard, Maxime ; Gurevych, Iryna (2018):
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations.
In: arXiv:1803.01400, [Artikel]

2017

Daxenberger, Johannes ; Eger, Steffen ; Habernal, Ivan ; Stab, Christian ; Gurevych, Iryna (2017):
What is the Essence of a Claim? Cross-Domain Claim Identification.
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), S. 2055-2066,
Copenhagen, Denmark, [Konferenzveröffentlichung]

Lee, Ji-Ung ; Eger, Steffen ; Daxenberger, Johannes ; Gurevych, Iryna (2017):
UKP TU-DA at GermEval 2017: Deep Learning for Aspect Based Sentiment Detection.
In: Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback, S. 22-29,
Berlin, Germany, [Konferenzveröffentlichung]

Eger, Steffen ; Do Dinh, Erik-Lân ; Kuznetsov, Ilia ; Kiaeeha, Masoud ; Gurevych, Iryna (2017):
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION.
In: Proceedings of the International Workshop on Semantic Evaluation, S. 942-946,
Association for Computational Linguistics, Vancouver, Canada, [Konferenzveröffentlichung]

Eger, Steffen ; Daxenberger, Johannes ; Gurevych, Iryna (2017):
Neural End-to-End Learning for Computational Argumentation Mining.
Volume 1: Long Papers, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), S. 11-22,
Association for Computational Linguistics, Vancouver, Canada, [Konferenzveröffentlichung]

2016

Schnober, Carsten ; Eger, Steffen ; Do Dinh, Erik-Lân ; Gurevych, Iryna (2016):
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks.
In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, S. 1703-1714,
The COLING 2016 Organizing Committee, Osaka, Japan, [Konferenzveröffentlichung]

Eger, Steffen ; Hoenen, Armin ; Mehler, Alexander (2016):
Language classification from bilingual word embedding graphs.
In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, S. 3507-3518,
The COLING 2016 Organizing Committee, Osaka, Japan, December 2016, [Konferenzveröffentlichung]

Eger, Steffen ; Mehler, Alexander (2016):
On the linearity of semantic change: Investigating Meaning Variation via Dynamic Graph Models.
In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), S. 52-58,
Association for Computational Linguistics, Berlin, Germany, August 2016, [Konferenzveröffentlichung]