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Pia Sommerauer

7 accepted papers

2025

Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE

ACL 2025finding

Amnesic probing is a technique used to examine the influence of specific linguistic information on the behaviour of a model. This involves identifying and removing the relevant information and then assessing whether the model’s performance on the main task changes. If the removed information is rele…

Cited by 0SourcePDFScholar
2025

Language Models Lack Temporal Generalization and Bigger is Not Better

ACL 2025finding

This paper presents elaborate testing of various LLMs on their generalization capacities. We finetune six encoder models that have been pretrained with very different data (varying in size, language, and period) on a challenging event detection task in Early Modern Dutch archival texts. Each model i…

2025

Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text

EMNLP 2025

Persona-prompting is a growing strategy to steer LLMs toward simulating particular perspectives or linguistic styles through the lens of a specified identity. While this method is often used to personalize outputs, its impact on how LLMs represent social groups remains underexplored. In this paper,

Cited by 0SourcePDFScholar
2023

Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models

EMNLP 2023long findings

In this paper, we investigate automatic detection of subtle semantic shifts between social communities of different political convictions in Dutch and English. We perform a methodological study comparing methods using static and contextualized language models. We investigate the impact of specializi…

Cited by 0SourceScholar
2022

Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection

EMNLP 2022main

Bias elimination and recent probing studies attempt to remove specific information from embedding spaces. Here it is important to remove as much of the target information as possible, while preserving any other information present. INLP is a popular recent method which removes specific information t…

Cited by 10SourcePDFScholar
2021

Challenging distributional models with a conceptual network of philosophical terms

NAACL 2021long

Computational linguistic research on language change through distributional semantic (DS) models has inspired researchers from fields such as philosophy and literary studies, who use these methods for the exploration and comparison of comparatively small datasets traditionally analyzed by close read…

2020

Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement

COLING 2020main

Semantic annotation tasks contain ambiguity and vagueness and require varying degrees of world knowledge. Disagreement is an important indication of these phenomena. Most traditional evaluation methods, however, critically hinge upon the notion of inter-annotator agreement. While alternative framewo…