Shared task: Lexical semantic change detection in German (Student Project Report)
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Abstract (arXiv)
Recent NLP architectures have illustrated in various ways how semantic change can be captured across time and domains. However, in terms of evaluation there is a lack of benchmarks to compare the performance of these systems against each other. We present the results of the first shared task on unsupervised lexical semantic change detection (LSCD) in German based on the evaluation framework proposed by Schlechtweg et al. (2019).
Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). First posted on arXiv 21 Jan 2020.
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2 papers.