Thomas Haider

 

Vita

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

Publications

Journal Articlesl

Haider, T., Eger, S., Kim, E., Klinger, R., & Menninghaus, W. (2020). PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry. Language Resources and Evaluation Conference (LREC), Marseille.  arXiv preprint arXiv:2003.07723.

Birnbaum, D. J., Bories, A. S., Haider, T. N., & Sarv, M. (2019). Plotting Poetry 3. Conference report. Studia Metrica et Poetica6(2), 150-161.

Haider, T., & Eger, S. (2019). Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Florence. https://www.aclweb.org/anthology/W19-4727  (pp. 216-222).

Haider, T. (2019). Diachronic Topics in New High German Poetry. Proceedings of the International Digital Humanities Conference DH2019, Utrecht, https://dev.clariah.nl/files/dh2019/boa/1031.html.

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)