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	title        = {The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change},
	abstract     = {We present the DURel tool implementing the annotation of semantic proximity between word uses into an online, open source interface. The tool supports standardized human annotation as well as computational annotation, building on recent advances with Word-in-Context models. Annotator judgments are clustered with automatic graph clustering techniques and visualized for analysis. This allows to measure word senses with simple and intuitive micro-task judgments between use pairs, requiring minimal preparation efforts. The tool offers additional functionalities to compare the agreement between annotators to guarantee the inter-subjectivity of the obtained judgments and to calculate summary statistics over the annotated data giving insights into sense frequency distributions, semantic variation or changes of senses over time.},
	booktitle    = {Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations.  St. Julians, Malta. Association for Computational Linguistics, pages 137–149},
	author       = {Schlechtweg, Dominik and Virk, Shafqat and Sander, Pauline and Sköldberg, Emma and Theuer Linke, Lukas and  Zhang, Tuo and Tahmasebi, Nina and  Schulte im Walde, Sabine},
	year         = {2024},

	title        = {Going to the market together. A presentation of a
mixed methods project},
	booktitle    = {TwinTalks Workshop at DH2023, 10 July, Graz, Austria},
	author       = {Ohlsson, Claes and Virk, Shafqat and Tahmasebi, Nina},
	year         = {2023},