25 citations · 73 across the 24 of their papers we have counts for
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cs.CL2022★ 3 cited
Norm Participation Grounds Language
David Schlangen
The striking recent advances in eliciting seemingly meaningful language behaviour from language-only machine learning models have only made more apparent, through the surfacing of…
cs.CL2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge
Brielen Madureira, David Schlangen
Cognitively plausible visual dialogue models should keep a mental scoreboard of shared established facts in the dialogue context. We propose a theory-based evaluation method for in…
cs.CL2022
The slurk Interaction Server Framework: Better Data for Better Dialog Models
Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann +2
This paper presents the slurk software, a lightweight interaction server for setting up dialog data collections and running experiments. Slurk enables a multitude of settings inclu…