Thomas Haider



Academic Education

2013-2016       Master of Arts, Computational Linguistics and Philosophy,
Ruprecht-Karls-Universität Heidelberg, Germany
2008-2012Bachelor of Arts, Computational Linguistics and Philosophy,
Ruprecht-Karls-Universität Heidelberg, Germany
09/2002-07/2005  Ausbildung zum Physiklaboranten, SCHOTT EP, Landshut

Professional Experience

since 02/2017           research fellow at the Max-Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
2011-2012Year abroad & BA thesis, Alfa Informatica, Rijksuniversiteit Groningen, Netherlands


Haider, T., & Eger, S. (2019). Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. Paper presented at the 1st International Workshop on Computational Approaches to Historical Language Change 2019, Florence, Italy.

Haider, T. (to appear). Diachronic Topics in New High German Poetry. In Proceedings of the Digital Humanities Conference DH2019 in Utrecht

Haider, T., & Kuhn, J. (2018). Supervised Rhyme Detection with Siamese Recurrent Networks. In  Proceedings of Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL-2018) (pp. 81–86). Stroudsburg, PA, Santa Fe, NM: Association for Computational Linguistics ( ACL ).

Haider, T., & Palmer, A. (2017). Modeling communicative purpose with functional style: Corpus and features for german genre and register analysis. In Proceedings of the Workshop on Stylistic Variation, EMNLP 2017 (pp. 74–84). Copenhagen, Stroudsburg, PA: Association for Computational Linguistics.

Leidenfrost-Burth, L., Haider, T., & Wöllstein, A. (2015). Rechtschreibwortschatz für Erwachsene. Heidelberg: Universitätsverlag Winter.

Bingel, J., & Haider, T. (2014). Namede-entity tagging a very large unbalanced corpus. Training and evaluating NE classifiers. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the Ninth International Conference on Language Resources and Evaluation: LREC 2014 (pp. 2578–2583). Reykjavik: European Languages Resources Association (ELRA)