Steffen Eger

Dr. rer. pol. Steffen Eger

Postdoctoral researcher

+49 6151 16-27813
+49 6151 16-25295

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 A309

Biographical information

I am independent research group (IRG) leader for the humanities at TU Darmstadt.

I hold a doctoral degree in Network Economics from Goethe University Frankfurt. I also hold a M.A. (Magister Artium) in Computational Linguistics and Economics from Ruprecht-Karls-University Heidelberg and a Diploma (Diplom) in Mathematics from the same university . From April 2014 until February 2016, I was a Post-doc at the Text Technology Lab in the CS department of Goethe University. From March 2016 to Decemberg 2018, I was a Post-doc at UKP working on Deep Learning for Argumentation Mining.

Research interests

  • Neural Nets, Deep Learning
    • Natural Language Generation, Low-resource languages
  • Networks and Graphs (Linguistic, Social, Economical)
  • Opinion dynamics
  • Meta-science
  • Alignments
  • String-to-string translation (in particular, G2P)
  • Computational Semantics
  • Machine Learning
  • General mathematics

Selected publications

  • Eger, Steffen. Opinion dynamics and wisdom under out-group discrimination. Mathematical Social Sciences (80), pp. 97-107, 2016.
  • Eger, Steffen. On the number of many-to-many alignments of multiple sequences. Journal of Automata, Languages and Combinatorics 20 (2015) 1, 53-65.
  • Tim vor der Brück, Steffen Eger and Alexander Mehler. Complex Decomposition of the Negative Distance Kernel. In Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, Florida, 2015.
  • Eger, Steffen. Do we need bigram alignment models? On the effect of alignment quality on transduction accuracy in G2P. In: EMNLP 2015.
  • Eger, Steffen. Multiple Many-To-Many Sequence Alignment for Combining String-Valued Variables: A G2P Experiment, ACL 2015.
  • Eger, Steffen. Improving G2P from Wiktionary and other (web) resources, Interspeech 2015.
  • Eger, Steffen. Some Elementary Congruences for the Number of Weighted Integer Compositions, Journal of Integer Sequences, 2015.
  • Eger, Steffen. Identities for partial Bell polynomials derived from identities for weighted integer compositions. Aequationes Mathematicae, 2015.
  • Eger, Steffen. A proof of the Mann-Shanks primality criterion conjecture for extended binomial coefficients. Integers: The Electronic Journal of Combinatorial Number Theory (14), 2014, #A60.
  • Eger, Steffen. Stirling's approximation for central extended binomial coefficients. The American Mathematical Monthly, Vol. 121, No. 4 (April) (pp. 344-349), 2014.
  • Eger, Steffen, and Sejane, Ineta, (2010): Computing semantic similarity from bilingual dictionaries. JADT 2010: 10th International Conference on Statistical Analysis of Textual Data, 9-11 June 2010, Rome, Italy; pp.1217-1225.

Supervised theses

I have supervised Bachelor and Master theses on the following topics:
  • Multi-task argumentation mining (Master)
  • cross-lingual argumentation mining (Master)
  • Dependency parsing as sequence tagging (Bachelor)
  • GANs for data augmentation (Bachelor)
  • Activation functions in NLP (Bachelor)
  • Citation Count Prediction (Bachelor)
  • Poetry generation (Bachelor)

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2019 | 2018 | 2017 | 2016
Anzahl der Einträge: 24.

2019

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, In: 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, S. 1-52, 7, (1), ISSN 2299-8470,
DOI: 10.15398/jlm.v7i1.205,
[Online-Edition: http://jlm.ipipan.waw.pl/index.php/JLM/article/view/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.
In: The 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, 03.11.2019-07.11.2019, [Online-Edition: https://public.ukp.informatik.tu-darmstadt.de/UKP_Webpage/pu...],
[Konferenzveröffentlichung]

Haider, Thomas ; Eger, Steffen (2019):
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry.
Florence, In: 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.
Florence, Italy, In: The 4th Workshop on Representation Learning for NLP (Repl4NLP 2019), Florence, Italy, 2 August 2019, [Online-Edition: https://www.aclweb.org/anthology/W19-4308],
[Konferenzveröffentlichung]

Gao, Yang ; Eger, Steffen ; Kuznetsov, Ilia ; Gurevych, Iryna ; Miyao, Yusuke (2019):
Does My Rebuttal Matter? Insights from a Major NLP Conference.
Minneapolis, USA, In: The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019-07.10.2019, [Online-Edition: https://www.aclweb.org/anthology/N19-1129],
[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, In: 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, Minneapolis, USA, In: The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019--07.10.2019, [Online-Edition: https://www.aclweb.org/anthology/N19-1165],
[Konferenzveröffentlichung]

2018

Eger, Steffen ; Li, Chao ; Netzer, Florian ; Gurevych, Iryna (2018):
Predicting Research Trends From Arxiv.
In: 1st Workshop on Reframing Research, Cologne, 05.12.2018, [Online-Edition: https://arxiv.org/pdf/1903.02831.pdf],
[Konferenzveröffentlichung]

Eger, Steffen ; Youssef, Paul ; Gurevych, Iryna (2018):
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks.
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, In: The 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 31.10.2018---04.11.2018, Long Papers, [Online-Edition: http://aclweb.org/anthology/D18-1472],
[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, In: 5th Workshop on Argument Mining, Brussels, Belgium, 31.10.2018, [Online-Edition: https://fileserver.ukp.informatik.tu-darmstadt.de/UKP_Webpag...],
[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, In: LaTeCH-CLfL 2018, Santa Fe, NM, USA, 25.08.2018, [Online-Edition: http://aclweb.org/anthology/W18-4508],
[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, In: 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, [Online-Edition: http://www.aclweb.org/anthology/N18-5005],
[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), In: The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, USA, 20.08.2018--26.08.2018, [Online-Edition: http://aclweb.org/anthology/C18-1071],
[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, Association for Computational Linguistics, New Orleans, USA, [Online-Edition: http://aclweb.org/anthology/N18-2006],
[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), In: The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM, USA, 20.08.2018--26.08.2018, [Online-Edition: http://aclweb.org/anthology/C18-1132],
[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, [Online-Edition: https://arxiv.org/abs/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), Copenhagen, Denmark, [Online-Edition: http://aclweb.org/anthology/D17-1218],
[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, Berlin, Germany, [Online-Edition: https://download.hrz.tu-darmstadt.de/media/FB20/Dekanat/Publ...],
[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, Association for Computational Linguistics, Vancouver, Canada, [Online-Edition: http://aclweb.org/anthology/S17-2163],
[Konferenzveröffentlichung]

Eger, Steffen ; Daxenberger, Johannes ; Gurevych, Iryna (2017):
Neural End-to-End Learning for Computational Argumentation Mining.
In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Association for Computational Linguistics, Vancouver, Canada, Volume 1: Long Papers, [Online-Edition: http://aclweb.org/anthology/P17-1002],
[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, The COLING 2016 Organizing Committee, Osaka, Japan, [Online-Edition: http://aclweb.org/anthology/C16-1160],
[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, The COLING 2016 Organizing Committee, Osaka, Japan, December 2016, [Online-Edition: http://www.aclweb.org/anthology/C16-1331],
[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), Association for Computational Linguistics, Berlin, Germany, August 2016, [Online-Edition: http://www.aclweb.org/anthology/P16-2009],
[Konferenzveröffentlichung]

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