Professur Sprachverstehen mit Anwendung Digital Humanities
Computational Linguistics (CoLi) 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. 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.
Prof. Dr. Annemarie Friedrich
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.
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.
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).
Ansprechpartner
- Telefon: +49 821 598 4628
- E-Mail: annemarie.friedrich@informatik.uni-augsburg.de
- Raum 503 (Gebäude F)
Lehrveranstaltungen / Teaching
| Name | Dozent | Semester | Typ | Sprache |
|---|---|---|---|---|
| Seminar Natural Language Understanding (Master) |
Friedrich Annemarie Friedrich |
Wintersemester 2023/24 | Seminar | deutsch |
| Exercise to Introduction to Python Programming |
Friedrich Annemarie Friedrich |
Wintersemester 2023/24 | Übung | englisch |
| Introduction to Natural Language Processing (Exercise) |
Friedrich Annemarie Friedrich |
Wintersemester 2023/24 | Übung | englisch |
| Seminar Natural Language Understanding (Bachelor) |
Friedrich Annemarie Friedrich |
Wintersemester 2023/24 | Seminar | deutsch |
| Introduction to Python Programming |
Friedrich Annemarie Friedrich |
Wintersemester 2023/24 | Vorlesung | englisch |
| Introduction to Natural Language Processing |
Friedrich Annemarie Friedrich |
Wintersemester 2023/24 | Vorlesung | englisch |
Recent Publications
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2022 |
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Subhash Chandra Pujari, Fryderyk Mantiuk, Mark Giereth, Jannik Strötgen and Annemarie Friedrich. 2022. Evaluating neural multi-field document representations for patent classification. In Ingo Frommholz, Philipp Mayr, Guillaume Cabanac, Suzan Verberne (Eds.). BIR 2022 - Bibliometric-enhanced Information Retrieval: Proceedings of the 12th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 44th European Conference on Information Retrieval (ECIR 2022), April 10th 2022, Stravanger, Norway. CEUR-WS, Aachen, 13-27 |
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Sophie Henning, Nicole Macher, Stefan Grünewald and Annemarie Friedrich. 2022. MiST: a large-scale annotated resource and neural models for functions of modal verbs in English scientific text. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang (Eds.). Findings of the Association for Computational Linguistics: EMNLP 2022, 7-11 December 2022, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics, Stroudsburg, PA, 1305-1324 |
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Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Kai Wang, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep VG and Zhiyong Lu. 2022. Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. Database: The Journal of Biological Databases and Curation 2022, baac069. DOI: 10.1093/database/baac069 |
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Subhash Pujari, Jannik Strötgen, Mark Giereth, Michael Gertz and Annemarie Friedrich. 2022. Three real-world datasets and neural computational models for classification tasks in patent landscaping. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang (Eds.). Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 7-11 December 2022, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics, Stroudsburg, PA, 11498-11513 |
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2021 |
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Teresa Bürkle, Stefan Grünewald and Annemarie Friedrich. 2021. A corpus study of creating rule-based enhanced universal dependencies for German. In Claire Bonial, Nianwen Xue (Eds.). Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop, November 11, 2021, Punta Cana, Dominican Republic. Association for Computational Linguistics, Stroudsburg, PA, 85-95 DOI: 10.18653/v1/2021.law-1.9 |
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Annemarie Friedrich and Torsten Zesch. 2021. A crash course on ethics for natural language processing. In David Jurgens, Varada Kolhatkar, Lucy Li, Margot Mieskes, Ted Pedersen (Eds.). Proceedings of the Fifth Workshop on Teaching NLP, June 10-11, 2021, Mexico City, Mexico (virtual). Association for Computational Linguistics, Stroudsburg, PA, 49-51 DOI: 10.18653/v1/2021.teachingnlp-1.6 |
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Subhash Chandra Pujari, Annemarie Friedrich and Jannik Strötgen. 2021. A multi-task approach to neural multi-label hierarchical patent classification using transformers. In Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani (Eds.). Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part I. Springer, Cham, 513-528 DOI: 10.1007/978-3-030-72113-8_34 |
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Stefan Grünewald, Annemarie Friedrich and Jonas Kuhn. 2021. Applying Occam's Razor to transformer-based dependency parsing: what works, what doesn't, and what is really necessary. In Stephan Oepen, Kenji Sagae, Reut Tsarfaty, Gosse Bouma, Djamé Seddah, Daniel Zeman (Eds.). Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021), August 6, 2021, Bangkok, Thailand (online). Association for Computational Linguistics, Stroudsburg, PA, 131-144 DOI: 10.18653/v1/2021.iwpt-1.13 |
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Stefan Grünewald, Prisca Piccirilli and Annemarie Friedrich. 2021. Coordinate constructions in English enhanced universal dependencies: analysis and computational modeling. In Paola Merlo, Jorg Tiedemann, Reut Tsarfaty (Eds.). Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: main volume, April 19-23, 2021, online. Association for Computational Linguistics, Stroudsburg, PA, 795-809 DOI: 10.18653/v1/2021.eacl-main.67 |
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Elizaveta Sineva, Stefan Grünewald, Annemarie Friedrich and Jonas Kuhn. 2021. Negation-instance based evaluation of end-to-end negation resolution. In Arianna Bisazza, Omri Abend (Eds.). Proceedings of the 25th Conference on Computational Natural Language Learning, November 10–11, 2021, online. Association for Computational Linguistics, Stroudsburg, PA, 528-543 DOI: 10.18653/v1/2021.conll-1.41 |
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Stefan Grünewald, Frederik Tobias Oertel and Annemarie Friedrich. 2021. RobertNLP at the IWPT 2021 shared task: simple enhanced UD parsing for 17 languages. In Stephan Oepen, Kenji Sagae, Reut Tsarfaty, Gosse Bouma, Djamé Seddah, Daniel Zeman (Eds.). Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021), August 6, 2021, Bangkok, Thailand (online). Association for Computational Linguistics, Stroudsburg, PA, 196-203 DOI: 10.18653/v1/2021.iwpt-1.21 |
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Subhash Chandra Pujari, Tim Tarsi, Jannik Strötgen and Annemarie Friedrich. 2021. Team RobertNLP at the BioCreative VII LitCovid track: neural document classification using SciBERT. In Cecilia Arighi (Ed.). Proceedings of the BioCreative VII Challenge Evaluation Workshop, November 08-11, 2021. University of Delaware, Newark, DE, 332-335 |