Dr. Ines Rehbein

Post-doctoral researcher

Universität Mannheim

B6, 28, Room C1,12

Email: ines at informatik dot uni-mannheim dot de 

Office hours:  by appointment by email

Research

  • Linguistic Annotation
  • Discourse Analysis
  • Lexical Semantics
  • Syntactic Parsing
  • Application of CL Methods to Computational Humanities

Biography

Ines Rehbein is a postdoctoral researcher in the Data and Web Science Group at the University of Mannheim, working with Prof. Dr. Simone Paolo Ponzetto and Prof. Dr. Heiner Stuckenschmidt. She is affiliated with projects B6 and C4 of the Collaborative Research Center SFB 884 „Political Economy of Reforms“. Her work is focussed on the adaptation and application of Natural Language Processing methods to research questions in the Computational Humanities and Computational Social Sciences. She has also worked in different areas of Computational Linguistics, including syntactic parsing, lexical semantics and discourse analysis.

Ines holds a PhD from the National Centre for Language Technology at Dublin City University, Ireland. Prior to joining the SFB, she was a research group leader in the Leibniz ScienceCampus „Empirical Linguistics and Computational Language Modeling“, a collaboration between the Leibniz Institute of German Language (IDS) Mannheim and the Computational Linguistics department at Heidelberg University, where she was heading up Area B, „Induction of (variational) linguistic models & resources“.

Recent Publications

  • Do, B.-N. und Rehbein, I. (2020). Neural reranking for dependency parsing: An evaluation. In , The 58th Annual Meeting of the Association for Computational Linguistics - proceedings of the conference : July 5-10, 2020 : ACL 2020 (S. 4123-4133). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
  • Kobbe, J., Rehbein, I., Hulpus, I. und Stuckenschmidt, H. (2020). Exploring morality in argumentation. In , Proceedings of the 7th Workshop on Argument Mining : Barcelona, Spain (Online), December 13, 2020 (S. 30-40). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
  • Rehbein, I. und Ruppenhofer, J. (2020). A new resource for German causal language. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 5968-5977). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.
  • Rehbein, I., Ruppenhofer, J. und Schmidt, T. (2020). Improving sentence boundary detection for spoken language transcripts. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 7102-7111). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.
  • Ruppenhofer, J., Rehbein, I. und Flinz, C. (2020). Fine-grained named entity annotations for German biographic interviews. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 4605-4614). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.
  • Sanguinetti, M., Bosco, C., Cassidy, L., Çetinoğlu, ., Cignarella, A. T., Lynn, T., Rehbein, I., Ruppenhofer, J., Seddah, D. und Zeldes, A. (2020). Treebanking user-generated content: A proposal for a unified representation in universal dependencies. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 5240-5250). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.