2 citations · 2 across the 3 of their papers we have counts for
3 papers
Learning the meanings of function words from grounded language using a visual question answering model
Eva Portelance, Michael C. Frank, Dan Jurafsky
Interpreting a seemingly-simple function word like "or", "behind", or "more" can require logical, numerical, and relational reasoning. How are such words learned by children? Prior…
Acoustically-Driven Phoneme Removal That Preserves Vocal Affect Cues
Camille Noufi, Jonathan Berger, Karen J. Parker +1
In this paper, we propose a method for removing linguistic information from speech for the purpose of isolating paralinguistic indicators of affect. The immediate utility of this m…
From partners to populations: A hierarchical Bayesian account of coordination and convention
Robert D. Hawkins, Michael Franke, Michael C. Frank +4
Languages are powerful solutions to coordination problems: they provide stable, shared expectations about how the words we say correspond to the beliefs and intentions in our heads…