Is the Lottery Fair? Evaluating Winning Tickets Across Demographics

1 code implementation • Findings (ACL) 2021 • Victor Petrén Bach Hansen, Anders Søgaard

Guideline Bias in Wizard-of-Oz Dialogues

1 code implementation • ACL (BPPF) 2021 • Victor Petrén Bach Hansen, Anders Søgaard

NLP models struggle with generalization due to sampling and annotator bias.

The Impact of Differential Privacy on Group Disparity Mitigation

1 code implementation • NAACL (PrivateNLP) 2022 • Victor Petrén Bach Hansen, Atula Tejaswi Neerkaje, Ramit Sawhney, Lucie Flek, Anders Søgaard

The performance cost of differential privacy has, for some applications, been shown to be higher for minority groups; fairness, conversely, has been shown to disproportionally compromise the privacy of members of such groups.

Fairness

What Do You Mean `Why?': Resolving Sluices in Conversations

1 code implementation • 21 Nov 2019 • Victor Petrén Bach Hansen, Anders Søgaard

In conversation, we often ask one-word questions such as `Why?'

Domain Transfer in Dialogue Systems without Turn-Level Supervision

1 code implementation • 16 Sep 2019 • Joachim Bingel, Victor Petrén Bach Hansen, Ana Valeria Gonzalez, Paweł Budzianowski, Isabelle Augenstein, Anders Søgaard

Task oriented dialogue systems rely heavily on specialized dialogue state tracking (DST) modules for dynamically predicting user intent throughout the conversation.

Dialogue State Tracking Task-Oriented Dialogue Systems