Search Results for author: Katrin Schulz

Found 4 papers, 1 papers with code

Undesirable biases in NLP: Averting a crisis of measurement

no code implementations24 Nov 2022 Oskar van der Wal, Dominik Bachmann, Alina Leidinger, Leendert van Maanen, Willem Zuidema, Katrin Schulz

As Natural Language Processing (NLP) technology rapidly develops and spreads into daily life, it becomes crucial to anticipate how its use could harm people.

The Birth of Bias: A case study on the evolution of gender bias in an English language model

1 code implementation NAACL (GeBNLP) 2022 Oskar van der Wal, Jaap Jumelet, Katrin Schulz, Willem Zuidema

With full access to the data and to the model parameters as they change during every step while training, we can map in detail how the representation of gender develops, what patterns in the dataset drive this, and how the model's internal state relates to the bias in a downstream task (semantic textual similarity).

Language Modelling Semantic Textual Similarity

Observing Interventions: A logic for thinking about experiments

no code implementations25 Nov 2021 Fausto Barbero, Katrin Schulz, Fernando R. Velázquez-Quesada, Kaibo Xie

Therefore, in a second step, we implement a more complex notion of knowledge that allows an agent to observe (measure) certain variables when an experiment is carried out.

Epistemic Reasoning

Thinking About Causation: A Causal Language with Epistemic Operators

no code implementations30 Oct 2020 Fausto Barbero, Katrin Schulz, Sonja Smets, Fernando R. Velázquez-Quesada, Kaibo Xie

To this purpose, we extend the notion of a causal model with a representation of the epistemic state of an agent.

Epistemic Reasoning

Cannot find the paper you are looking for? You can Submit a new open access paper.