7 citations · 14 across the 9 of their papers we have counts for
4 papers · 1 filter
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze
We propose a fully unsupervised method to detect bias in contextualized embeddings. The method leverages the assortative information latently encoded by social networks and combine…
The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative
Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal +1
Construction Grammar (CxG) is a paradigm from cognitive linguistics emphasising the connection between syntax and semantics. Rather than rules that operate on lexical items, it pos…
CaMEL: Case Marker Extraction without Labels
Leonie Weissweiler, Valentin Hofmann, Masoud Jalili Sabet +1
We introduce CaMEL (Case Marker Extraction without Labels), a novel and challenging task in computational morphology that is especially relevant for low-resource languages. We prop…
Geographic Adaptation of Pretrained Language Models
Valentin Hofmann, Goran Glavaš, Nikola Ljubešić +2
While pretrained language models (PLMs) have been shown to possess a plethora of linguistic knowledge, the existing body of research has largely neglected extralinguistic knowledge…