Chair of Computational Linguistics
Prof. Dr. Annemarie Friedrich
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Computational Linguistics?is an interdisciplinary field that combines the study of linguistics and computer science to investigate the computational aspects of human language. It focuses on developing and applying computational models and algorithms to analyze, understand, and generate natural language.
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Digital Humanities?(DH)?is an interdisciplinary field that combines traditional humanities disciplines, such as literature, history, philosophy, linguistics, and art, with digital technologies and computational methods. It aims to study, interpret, and analyze cultural and historical artifacts using digital tools and methodologies.
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The core research interests of my group are within computational linguistics and natural language processing with a focus on semantics and information extraction from text, i.e, natural language understanding ("Sprachverstehen"). I am particularly interested in annotation and corpus creation, as any machine-learning model depends on the underlying data.
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In the?machine-learning?oriented part of my research,?I work on text mining for scientific text, syntactic and semantic parsing, and uncertainty in the context of deep learning for NLP. The?corpus-linguistic?part of my research has focused on?understanding and modeling interactions at the syntax-semantics interface, taking into account influences of discourse and pragmatics. Most of my past research is about the computational modeling of aspect, genericity, and modal verbs.
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I am currently the vice president of the?German Society for Computational Linguistics?(GSCL), the scientific association in the German-speaking countries and regions for research, teaching and professional work in natural language processing. I am a member of the ACL Special Interest Group for Annotation (ACL SIGANN).
Group Members
- Phone: +49 821 598 4628
- Email: annemarie.friedrich@informatik.uni-augsburginformatik.uni-augsburg.de ()
- Room 1022 (Building BCM)
- Phone: +49 821 598 4922
- Email: sabrina.achberger@uni-auni-a.de ()
- Room 1023 (Building BCM)
- Phone: +49 821 598 4626
- Email: fabio.mariani@uni-auni-a.de ()
- Room 1021 (Building BCM)
- Phone: +49 821 598 4961
- Email: hanna.schmueck@uni-auni-a.de ()
- Room 1025 (Building BCM)
- Phone: +49 821 598 4961
- Email: georg.hofmann@uni-auni-a.de ()
- Room 1021 (Building BCM)
Alumni
- Dr. Jakob Prange
Publications
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OPAC:
2025 |
Hanna Schmück, Michael Reder, Katrin Paula and Annemarie Friedrich. in press. A case study on annotating and analysing situation entity types in Reddit discussions on democracy. In Annamária Fábián, Igor Trost (Eds.). Impulses and Approaches to Computer-Mediated Communication: proceedings of the 12th International Conference on Computer Mediated Communication and Social Media Corpora for the Humanities, University of Bayreuth, Germany, 4th-5th September 2025. University of Bayreuth, Bayreuth, 55-60 |
Paul Baker, Hanna Schmück and Yufang Qian. 2025. Automatic image tagging for corpus linguistics: a multimodal study of news representations of Islam. Cambridge University Press, Cambridge (Elements in Corpus Linguistics). DOI: 10.1017/9781009581233 |
Yejin Jung, Dana Gablasova, Vaclav Brezina and Hanna Schmück. 2025. Developing a coding scheme for annotating opinion statements in L2 interactive spoken English with application for language teaching and assessment. Research in Corpus Linguistics 12, 2, 146-173. DOI: 10.32714/ricl.12.02.07 |
Hanna Schmück. in press. Sarah Buschfeld, Patricia Ronan, Theresa Neumaier, Andreas Weilinghoff and Lisa Westermayer (eds.), Crossing boundaries through corpora: Innovative corpus approaches within and beyond linguistics (Studies in Corpus Linguistics 119). Amsterdam and Philadelphia: John Benjamins, 2024. Pp vi + 265. ISBN 9789027215949 [Book Review]. English Language & Linguistics 119, 1-6. DOI: 10.1017/s1360674325100439 |
2024 |
Man Ho Ivy Wong and Jakob Prange. 2024. A Bayesian approach to (re)examining learning effects of cognitive linguistics–inspired instruction: a close replication of Wong, Zhao, and MacWhinney (2018). Studies in Second Language Acquisition 46, 1493-1513. DOI: 10.1017/s0272263124000603 |
Steffen Kleinle, Jakob Prange and Annemarie Friedrich. 2024. OMoS-QA: a dataset for cross-lingual extractive question answering in a German migration context. In Pedro Henrique Luz de Araujo, Andreas Baumann, Dagmar Gromann, Brigitte Krenn, Benjamin Roth, Michael Wiegand (Eds.). Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), September 10-13, 2024, Vienna, Austria. Association for Computational Linguistics (ACL), Stroudsburg, PA, 231-248 |
Arcangelo Massari, Fabio Mariani, Ivan Heibi, Silvio Peroni and David Shotton. 2024. OpenCitations Meta. Quantitative Science Studies 5, 1, 50-75. DOI: 10.1162/qss_a_00292 |
Fabio Mariani, Max Koss and Lynn Rother. 2024. People information in provenance data: biographical entity linking with Wikidata and ULAN. ?ivot umjetnosti: ?asopis o modernoj i suvremenoj umjetnosti i arhitekturi 114, 1, 148-161. DOI: 10.31664/zu.2024.114.07 |
Hanna Schmück. 2024. Review of Dunn (2022): Natural Language Processing for Corpus Linguistics. Cambridge University Press. 84pp. [Book Review]. International Journal of Corpus Linguistics 29, 1, 123-129. DOI: 10.1075/ijcl.00057.sch |
2023 |
Annemarie Friedrich, Nianwen Xue and Alexis Palmer. 2023. A kind introduction to lexical and grammatical aspect, with a survey of computational approaches. In Andreas Vlachos, Isabelle Augenstein (Eds.). Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), May 2-6, 2023, Dubrovnik, Croatia. Association for Computational Linguistics (ACL), Stroudsburg, PA, 599-622 DOI: 10.18653/v1/2023.eacl-main.44 |
Sophie Henning, William Beluch, Alexander Fraser and Annemarie Friedrich. 2023. A survey of methods for addressing class imbalance in deep-learning based natural language processing. In Andreas Vlachos, Isabelle Augenstein (Eds.). Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), May 2-6, 2023, Dubrovnik, Croatia. Association for Computational Linguistics (ACL), Stroudsburg, PA, 523-540 DOI: 10.18653/v1/2023.eacl-main.38 |
Jakob Prange and Emmanuele Chersoni. 2023. Empirical sufficiency lower bounds for language modeling with locally-bootstrapped semantic structures. In Alexis Palmer, Jose Camacho-Collados (Eds.). Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), July 13-14, 2023, Toronto, Canada. Association for Computational Linguistics (ACL), Stroudsburg, PA, 456-468 DOI: 10.18653/v1/2023.starsem-1.40 |
Lynn Rother, Fabio Mariani and Max Koss. 2023. Hidden value: provenance as a source for economic and social history. Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook 64, 1, 111-142. DOI: 10.1515/jbwg-2023-0005 |
2023. LAW 2023: The 17th Linguistic Annotation Workshop (LAW-XVII) @ ACL 2023, proceedings of the workshop, July 13, 2023. In Jakob Prange, Annemarie Friedrich (Eds.). Association for Computational Linguistics (ACL), Stroudsburg, PA |
Lynn Rother, Fabio Mariani and Max Koss. 2023. Linking (in)completeness: a collaborative approach to representing people in art provenance data. In ADHO Digital Humanities Conference 2023 (DH2023), 10th-14th July 2023, Graz, Austria. CERN, Genf, 1-2 DOI: 10.5281/zenodo.8107371 |
Jakob Prange and Man Ho Ivy Wong. 2023. Reanalyzing L2 preposition learning with Bayesian mixed effects and a pretrained language model. In Anna Rogers, Jordan Boyd-Graber, Naoaki Okazaki (Eds.). Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (volume 1: long papers), July 9-14, 2023, Toronto, Canada. Association for Computational Linguistics (ACL), Stroudsburg, PA, 12722-12736 DOI: 10.18653/v1/2023.acl-long.712 |
Fabio Mariani, Lynn Rother and Max Koss. 2023. Teaching provenance to AI: an annotation scheme for museum data. In Sonja Thiel and Johannes C. Bernhardt (Ed.). AI in museums: reflections, perspectives and applications. transcript, Bielefeld (Edition Museum ; 74), 163-172. DOI: 10.14361/9783839467107-014 |