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Simulating Lexical Semantic Change from Sense-Annotated Data., и . CoRR, (2020)CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection., , , , и . CoRR, (2020)The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change., , , , , , , , и . CoRR, (2023)IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection., , , и . SemEval@COLING, стр. 81-89. International Committee for Computational Linguistics, (2020)Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain., , и . EACL, стр. 1412-1427. Association for Computational Linguistics, (2023)The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change., , , , , , , , и . EACL (Demonstrations), стр. 137-149. Association for Computational Linguistics, (2024)What Drives the Use of Metaphorical Language? Negative Insights from Abstractness, Affect, Discourse Coherence and Contextualized Word Representations., и . *SEM@NAACL-HLT, стр. 299-310. Association for Computational Linguistics, (2022)To Split or Not to Split: Composing Compounds in Contextual Vector Spaces., , и . EMNLP, стр. 16131-16136. Association for Computational Linguistics, (2023)AkkuBohrHammer vs. AkkuBohrhammer: Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains., , , , , и . KONVENS, (2019)Computerlinguistik und Sprachtechnologie, и . Groos Narr, Tübingen, (2006)