3 citations · 5 across the 6 of their papers we have counts for
6 papers
A Dataset for Physical and Abstract Plausibility and Sources of Human Disagreement
Annerose Eichel, Sabine Schulte im Walde
We present a novel dataset for physical and abstract plausibility of events in English. Based on naturally occurring sentences extracted from Wikipedia, we infiltrate degrees of ab…
Willkommens-Merkel, Chaos-Johnson, and Tore-Klose: Modeling the Evaluative Meaning of German Personal Name Compounds
Annerose Eichel, Tana Deeg, André Blessing +3
We present a comprehensive computational study of the under-investigated phenomenon of personal name compounds (PNCs) in German such as Willkommens-Merkel ('Welcome-Merkel'). Preva…
Semantics of Multiword Expressions in Transformer-Based Models: A Survey
Filip Miletić, Sabine Schulte im Walde
Multiword expressions (MWEs) are composed of multiple words and exhibit variable degrees of compositionality. As such, their meanings are notoriously difficult to model, and it is…
Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain
Annerose Eichel, Helena Schlipf, Sabine Schulte im Walde
We propose a novel approach to learn domain-specific plausible materials for components in the vehicle repair domain by probing Pretrained Language Models (PLMs) in a cloze task st…
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Distinguishing between antonyms and synonyms is a key task to achieve high performance in NLP systems. While they are notoriously difficult to distinguish by distributional co-occu…
Neural-based Noise Filtering from Word Embeddings
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Word embeddings have been demonstrated to benefit NLP tasks impressively. Yet, there is room for improvement in the vector representations, because current word embeddings typicall…