ChiWUG: A Graph-based Evaluation Dataset for Chinese Lexical Semantic Change Detection
Jing Chen, Emmanuele Chersoni, Dominik Schlechtweg, Jelena Prokić, Chu‐Ren Huang · 2023
Recent studies suggested that language models are efficient tools for measuring lexical semantic change.In our paper, we present the compilation of the first graph-based evaluation dataset for semantic change in the context of the Chinese language, covering the periods before and after the Reform and Opening Up.Exploiting the existing framework DURel, we collect over 61,000 human semantic relatedness judgments for 40 targets.The inferred word usage graphs and semantic change scores provide a basis for visualization and evaluation of semantic change.