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

Stellenausschreibung studentische Hilfskräfte

Wir suchen studentische Hilfskräft für die linguistische Annotation von politischen Texten (siehe Ausschreibung)

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”.

Sanguinetti, M., Bosco, C., Cassidy, L., Çetinoğlu, ., Cignarella, A. T., Lynn, T., Rehbein, I., Ruppenhofer, J., Seddah, D. and Zeldes, A. (2023). Treebanking user-generated content: A UD based overview of guidelines, corpora and unified recommendations. Language Resources and Evaluation, 57, 493–544.
Nanni, F., Glavaš, G., Rehbein, I., Ponzetto, S. P. and Stuckenschmidt, H. (2021). Political text scaling meets computational semantics. ACM/IMS Transactions on Data Science : TDS, 2, 1–27.

Rehbein, I. and Ponzetto, S. P. (2024). A new resource and baselines for opinion role labelling in German parliamentary debates. In , ParlaCLARIN IV : workshop on Creatign, Analysing, and Increasing Accessibility of Parliamentary Corpora : LREC-COLING 2024 (S. 163–170). , ELRA: Torino, Italia.
Rehbein, I., Ruppenhofer, J., Brunner, A. and Ponzetto, S. P. (2024). Out of the mouths of MPs: Speaker attribution in parliamentary debates. In , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) : main conference proceedings, 20–25 May, 2024, Torino, Italia (S. 12553-12563). , ELRA and ICCL: Torino, Italia.
Reinig, I., Becker, M., Rehbein, I. and Ponzetto, S. P. (2024). A survey on modelling morality for text analysis. In , Findings of the Association for Computational Linguistics ACL 2024, 62nd annual meeting of the Association for Computational Linguistics (ACL 2024) : Proceedings of the conference, August 11–16, 2024 (S. 4136-4155). , Association for Computational Linguistics (ACL): Kerrville, TX.
Reinig, I., Rehbein, I. and Ponzetto, S. P. (2024). How to do politics with words: Investigating speech acts in parliamentary debates. In , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) : main conference proceedings, 20–25 May, 2024, Torino, Italia (S. 8287-8300). , ELRA and ICCL: Torino, Italia.
Klamm, C., Rehbein, I. and Ponzetto, S. P. (2023). Our kind of people? Detecting populist references in political debates. In , Findings of EACL 2023 : The 17th Conference of the European Chapter of the Association for Computational Linguistics (S. 1227-1243). , Association for Computational Linguistics: Dubrovnik, Croatia.
Yu, H.-C., Rehbein, I. and Ponzetto, S. P. (2023). Policy domain prediction from party manifestos with adapters and knowledge enhanced transformers. In , The 19th Conference on Natural Language Processing (KONVENS 2023) : proceedings of the conference, September 18–22, 2023 (S. 229–244). , Association for Computational Lingustics, ACL: Stroudsburg, PA.
Bamberg, L., Rehbein, I. and Ponzetto, S. P. (2022). Improved opinion role labelling in parliamentary debates. In , Konvens 2022 : Proceedings of the 18th Conference on Natural Language Processing / Konferenz zur Verarbeitung natürlicheer Sprache (KONVENS 2022) (S. 110–120). , Association for Computational Linguistics: Stroudsburg, PA.
Klamm, C., Rehbein, I. and Ponzetto, S. P. (2022). FrameASt: A framework for second-level agenda setting in parliamentary debates through the lens of comparative agenda topics. In , Proceedings of the ParlaCLARIN III: Workshop on creating, enriching and using parliamentary corpora (S. 92–100). , European Language Resources Association (ELRA): Paris.
Rehbein, I. and Ruppenhofer, J. (2022). Who’s in, who’s out? Predicting the inclusiveness or exclusiveness of personal pronouns in parliamentary debates. In , Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) (S. 5849-5858). , European Language Resources Association (ELRA): Marseille.
Rehbein, I., Ponzetto, S. P., Adendorf, A., Bahnsen, O., Stoetzer, L. F. and Stuckenschmidt, H. (2021). Come hither or go away? Recognising pre-electoral coalition signals in the news. In , Proceedings of the 2021 conference on empirical methods in natural language processing (EMNLP 2021) (S. 7798-7810). , Association for Computational Linguistics: Punta Cana, Dominican Republic.
Rehbein, I., Ruppenhofer, J. and Bernauer, J. (2021). Who is we? Disambiguating the referents of first person plural pronouns in parliamentary debates. In , Proceedings of the 17th conference on natural language processing (KONVENS 2021) (S. 147–158). , KONVENS 2021 Organizers: Düsseldorf, Germany.
Do, B.-N. and 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.
Do, B.-N. and Rehbein, I. (2020). Parsers know best: German PP attachment revisited. In , COLING 2020 : The 28th International Conferenceon Computational Linguistics, proceedings of the conference, December 8–13, 2020, Barcelona, Spain (Online) (S. 2049–2061). , ACM Digital Library: New York, NY.
Kobbe, J., Rehbein, I., Hulpus, I. and 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. and Ruppenhofer, J. (2020). A new resource for German causal language. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11–16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 5968-5977). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.
Rehbein, I., Ruppenhofer, J. and Schmidt, T. (2020). Improving sentence boundary detection for spoken language transcripts. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11–16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 7102-7111). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.
Ruppenhofer, J. and Rehbein, I. (2020). I’ve got a construction looks funny – representing and recovering non-standard constructions in UD. In , COLING 2020 : Fourth Workshop on Universal Dependencies (UDW 2020), proceedings of the workshop,December 13, 2020,Barcelona, Spain (Online) (S. 140–151). , ACM Digital Library: New York, NY.
Ruppenhofer, J., Rehbein, I. and Flinz, C. (2020). Fine-grained named entity annotations for German biographic interviews. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11–16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 4605-4614). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.
Sanguinetti, M., Bosco, C., Cassidy, L., Çetinoğlu, ., Cignarella, A. T., Lynn, T., Rehbein, I., Ruppenhofer, J., Seddah, D. and Zeldes, A. (2020). Treebanking user-generated content: A proposal for a unified representation in universal dependencies. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11–16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 5240-5250). , ELRA ; IDS, Bibliothek: Paris ; Mannheim.