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Filtering conversations through dialogue acts labels for improving corpus-based convergence studies
Cognitive models of conversation and research on user-adaptation in dialogue systems involves a better understanding of speakers convergence in conversation.
CMCL 2022 Shared Task on Multilingual and Crosslingual Prediction of Human Reading Behavior
We present the second shared task on eye-tracking data prediction of the Cognitive Modeling and Computational Linguistics Workshop (CMCL).
CMCL 2021 Shared Task on Eye-Tracking Prediction
The goal of the task is to predict 5 different token- level eye-tracking metrics of the Zurich Cognitive Language Processing Corpus (ZuCo).
Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis
This difference is particularly marked for communicative feedback and grounding phenomena such as backchannels, acknowledgments, or clarification requests.
