1 citations · 1 across the 3 of their papers we have counts for
4 papers
Learning the Cue or Learning the Word? Analyzing Generalization in Metaphor Detection for Verbs
Sinan Kurtyigit, Sabine Schulte im Walde, Alexander Fraser
Metaphor detection models achieve strong benchmark performance, yet it remains unclear whether this reflects transferable generalization or lexical memorization. To address this, w…
Lexical Semantic Change Discovery
Sinan Kurtyigit, Maike Park, Dominik Schlechtweg +2
While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of existing models. In th…
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…
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…