Saba Anwar is a researcher in the Language Technology group at the University of Hamburg, pursuing her PhD under the supervision of Prof. Chris Biemann. Her research focuses on semantic frame induction and lexical semantics, with an emphasis on leveraging pre-trained deep learning models and contextualized word embeddings. In addition to her research, she is an active member of the teaching team and plays a key role in maintaining and expanding the SCoT ((Sense Clustering over Time) tool in collaboration with the Hub of Computing and Data Science (HCDS) in Hamburg.
SA Saba Anwar ( Partner)
University of Hamburg, Language Technology Group
Contact
Mail: saba.anwar@uni-hamburg.de External profile: Uni Hamburg Profile
Keywords: Natural language processing, Computational linguistics, Frame semantics, Lexical semantics
Bio
Selected Publications
Anwar, S., Shelmanov, A., Arefyev, N., Panchenko, A., Biemann, C. (2023). Text augmentation for semantic frame induction and parsing. Language Resources & Evaluation. https://doi.org/10.1007/s10579-023-09679-8.
Remus S., Wiedemann G., Anwar S., Petersen-Frey F., Yimam S. M., Biemann C. (2022), More Like This: Semantic Retrieval with Linguistic Information, In Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 156–166, Potsdam, Germany
Haase, C., Anwar, S.,Yimam S. M., Friedrich, A., Biemann, C. (2021): SCoT: Sense Clustering over Time: a tool for the analysis of lexical change. The 2021 Conference of the European Chapter of the Association for Computational Linguistics – System Demonstrations. Kyiv, Ukraine (Online)
Anwar, S., Shelmanov, A., Panchenko, A. and Biemann C. (2020): Generating Lexical Representations of Frames using Lexical Substitution. Proceedings of the International Conference on Probability and Meaning (PaM )2020, Gothenburg, Sweden
Anwar, S., Ustalov, D., Arefyev, N., Ponzetto, S.P., Biemann C. and Panchenko, A. (2019): HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. Proceedings of SemEval 2019, Minneapolis, MN, USA