1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2021★ 1 cited
Explaining and Improving BERT Performance on Lexical Semantic Change Detection
Severin Laicher, Sinan Kurtyigit, Dominik Schlechtweg +2
Type- and token-based embedding architectures are still competing in lexical semantic change detection. The recent success of type-based models in SemEval-2020 Task 1 has raised th…
cs.CL2021
Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection
Jens Kaiser, Sinan Kurtyigit, Serge Kotchourko +1
Lexical semantic change detection is a new and innovative research field. The optimal fine-tuning of models including pre- and post-processing is largely unclear. We optimize exist…