Topics

We invite abstracts for 20-minute talks and posters. Submissions may address (but are not limited to) the following themes:

• The emergence of expectations during online comprehension.
• The nature of discourse expectations – how specific or abstract they are.
• The interaction between local (lexical, syntactic) and global (discourse, world knowledge) sources of prediction.
• Individual differences, adaptation, and learning in predictive processing.
• Multimodal expectations across language, gesture, prosody, and visual context.
• Probabilistic, Bayesian, and neural models of discourse expectations.
• Surprisal- and prediction-based metrics for modeling discourse processing.
• Insights from large language models for theories of discourse and prediction.

Abstracts:

Abstracts must be anonymous, and should be limited to a maximum of two pages of text, including tables, figures, and references. Pages should be US Letter or A4, with one inch margins, and a minimum font size of 11pt (Times New Roman). Abstracts can be submitted via Open Review.

Programme Committee (confirmed)

• Arnout Koornneef
• Chris Cummins
• Clare Patterson
• Daniel Altshuler
• Elena Karagjosova
• Elena Savinova
• Elsi Kaiser
• Hannah Rohde
• Hannah Seemann
• Hans Wilke
• Jack Duff
• Jacqueline Evers-Vermeul
• Juhani Järvikivi
• Katharina Spalek
• Kelsey Sasaki
• Klaus von Heusinger
• Marloes van Moort
• Nicole Gotzner
• Oliver Bott
• Patrick Sturt
• Petra Schumacher
• Rachel Ryskin
• Robin Lemke
• Roger van Gompel
• Sandrine Zufferey
• Timo Buchholz
• Torgrim Solstad
• Vera Demberg
• Yipu Wei