15 citations · 43 across the 12 of their papers we have counts for
18 papers
LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg
We present the first shared task on semantic change discovery and detection in Spanish and create the first dataset of Spanish words manually annotated for semantic change using th…
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…
More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods
Thomas Bott, Dominik Schlechtweg, Sabine Schulte im Walde
This paper presents a comparison of unsupervised methods of hypernymy prediction (i.e., to predict which word in a pair of words such as fish-cod is the hypernym and which the hypo…
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…
Challenges for Computational Lexical Semantic Change
Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg +1
The computational study of lexical semantic change (LSC) has taken off in the past few years and we are seeing increasing interest in the field, from both computational sciences an…