Questions?
If you have any questions, please do not hesitate to ask them to durel@ims.uni-stuttgart.de.
Background
This page started as a student project at the IMS (Institute for Natural Language Processing), University of Stuttgart.
This work has in part been funded by the project Towards Computational Lexical Semantic Change Detection supported by the Swedish Research Council (2019–2022; contract 2018-01184).
This work has in part been funded by the research program Change is Key! supported by Riksbankens Jubileumsfond (under reference number M21-0021).
Relevant Links
- DURel Tool Video Demo
- Blog post
- Word Usage Graphs
- Git repository for Word Usage Graphs
- Sample project
The system is based in the following literature:
- Dominik Schlechtweg, Shafqat Mumtaz Virk, Pauline Sander, Emma Sköldberg, Lukas Theuer Linke, Tuo Zhang, Nina Tahmasebi, Jonas Kuhn, and Sabine Schulte im Walde. 2023. The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 137–149, St. Julians, Malta. Association for Computational Linguistics.
- Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann. 2018. Diachronic Usage Relatedness (DURel): A framework for the annotation of lexical semantic change. In Proceedings of NAACL, New Orleans, LA, USA.
- Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, and Nina Tahmasebi. 2024. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, November 2024, Miami, Florida. Association for Computational Linguistics.
- Pauline Sander, Simon Hengchen, Wei Zhao, Xiaocheng Ma, Emma Sköldberg, Shafqat Mumtaz Virk, and Dominik Schlechtweg. 2024. The DURel Annotation Tool: Using fine-tuned LLMs to discover non-recorded senses in multiple languages . In Workshop on Large Language Models and Lexicography at 21st EURALEX International Congress Lexicography and Semantics, 2024. Slides.
- Emma Sköldberg, Shafqat Mumtaz Virk, Pauline Sander, Simon Hengchen, and Dominik Schlechtweg. 2024. Revealing semantic variation in Swedish using computational models of semantic proximity: results from lexicographical experiments . In 21st EURALEX International Congress Lexicography and Semantics, 2024. Slides.
Studies using the tool:
- Jing Chen, Emmanuele Chersoni, Dominik Schlechtweg, Jelena Prokic, and Chu-Ren Huang. 2023. ChiWUG: A Graph-based Evaluation Dataset for Chinese Lexical Semantic Change Detection. In Proceedings of the 4th International Workshop on Computational Approaches to Historical Language Change.
- Dominik Schlechtweg. 2023. Human and Computational Measurement of Lexical Semantic Change. PhD thesis. University of Stuttgart, Germany.
- Andrey Kutuzov, Samia Touileb, Petter Mæhlum, Tita Enstad, and Alexandra Wittemann. 2022. NorDiaChange: Diachronic Semantic Change Dataset for Norwegian. In Proceedings of the Thirteenth Language Resources and Evaluation Conference.
- Anna Aksenova, Ekaterina Gavrishina, Elisey Rykov, and Andrey Kutuzov. 2022. Rudsi: graph-based word sense induction dataset for russian.
- Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg. 2022. LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. In Proceedings of the 3rd International Workshop on Computational Approaches to Historical Language Change.
- Gioia Baldissin, Dominik Schlechtweg, Sabine Schulte im Walde. 2022. DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish. In Proceedings of the 13th Language Resources and Evaluation Conference.
- Dominik Schlechtweg, Enrique Castaneda, Jonas Kuhn, Sabine Schulte im Walde. 2021. Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model. In Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics.
- Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, and Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
- Sinan Kurtyigit, Maike Park, Dominik Schlechtweg, Jonas Kuhn, Sabine Schulte im Walde. 2021. Lexical Semantic Change Discovery. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).
- Sinan Kurtyigit. 2021. Lexical Semantic Change Discovery. Bachelor thesis.
- Serge Kotchourko. 2021. Optimizing Human Annotation of Word Usage Graphs in a Realistic Simulation Environment. Bachelor thesis.
- Benjamin Tunc. 2021. Optimierung von Clustering von Wortverwendungsgraphen. Bachelor thesis.
- Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi. 2020. SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection. In Proceedings of SemEval@COLING2020, Barcelona, Spain.
Development
Project Supervisor
Students
- Anne Reuter
- Annalena Streichert
- Enrique Medina Waldo Castaneda
- Lukas Theuer Linke
Research Students
- Sinan Kurtyigit
- Serge Kotchourko
- Pedro G. Bascoy
- Nishan Chatterjee
- Tuo ZHANG
Further Contributors
- Pauline Sander
- Shafqat Mumtaz Virk
- Francesco Periti
- Jing CHEN