| 
Personal Information
| Name | |
| Steffen Eger | |
| Position | |
| Postdoctoral Researcher | |
| Affiliation | |
| UKP-TUDA | |
| eger(at)ukp.informatik.tu-darmstadt.de | |
| Phone | |
+49 (6151) 16 - 25299 | |
| Fax | |
| +49 (6151) 16 - 25295 | |
| Office | |
| S2|02 B117 | |
| Address | |
TU Darmstadt - FB 20
|
Biographical Information
I am a postdoctoral researcher at UKP-TUDA.
I hold a M.A. (Magister Artium) in Computational Linguistics, Economics, and English from Ruprecht-Karls-University Heidelberg. I also hold a Diplom in Mathematics from the same university. In May 2014, I successfully defended my PhD thesis, with the title "Essays on Social Learning and Social Dynamics", from Goethe-University Frankfurt am Main. From April 2014 until February 2016, I worked as a postdoc at the Text Technology Lab in the CS department of Goethe-University. Since March 2016, I work at UKP. My current work focuses on Deep Learning methods for application scenarios such as Argumentation Mining.
Research Interests
- Neural Nets, Deep Learning
- Networks and Graphs (Linguistic, Social, Economical)
- Alignments
- String-to-string translation (in particular, G2P)
- Computational Semantics
- Machine Learning
- General mathematics
Publications
What is the Essence of a Claim? Cross-Domain Claim Identification
Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna GurevychIn: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 2045-2056, September 2017
[Inproceedings]
UKP TU-DA at GermEval 2017: Deep Learning for Aspect Based Sentiment Detection
Ji-Ung Lee, Steffen Eger, Johannes Daxenberger, Iryna GurevychIn: Proceedings of the 27th Conference of the German Society for Computational Linguistics (GSCL 2017), p. (to appear), September 2017
[Inproceedings]
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION
Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna GurevychIn: Proceedings of the International Workshop on Semantic Evaluation, August 2017
ACL
[Inproceedings]
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger, Johannes Daxenberger, Iryna GurevychIn: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vol. Volume 1: Long Papers, p. 11-22, July 2017
Association for Computational Linguistics
[Inproceedings]
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.
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