1 code implementation • 3 Apr 2024 • Jennifer Hu, Michael C. Frank
Developmental psychologists have argued about when cognitive capacities such as language understanding or theory of mind emerge.
1 code implementation • 16 Aug 2023 • Eva Portelance, Michael C. Frank, Dan Jurafsky
Furthermore, we find that these models can learn the meanings of logical connectives and and or without any prior knowledge of logical reasoning, as well as early evidence that they are sensitive to alternative expressions when interpreting language.
1 code implementation • CoNLL (EMNLP) 2021 • Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
By the age of two, children tend to assume that new word categories are based on objects' shape, rather than their color or texture; this assumption is called the shape bias.
1 code implementation • 12 Apr 2021 • Robert D. Hawkins, Michael Franke, Michael C. Frank, Adele E. Goldberg, Kenny Smith, Thomas L. Griffiths, Noah D. Goodman
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.
1 code implementation • 14 Jun 2020 • Atticus Geiger, Alexandra Carstensen, Michael C. Frank, Christopher Potts
In the two latter cases, our models perform tasks proposed in previous work to demarcate human-unique symbolic abilities.
1 code implementation • 16 Dec 2019 • Robert D. Hawkins, Michael C. Frank, Noah D. Goodman
The language we use over the course of conversation changes as we establish common ground and learn what our partner finds meaningful.
no code implementations • 26 Nov 2017 • Long Ouyang, Michael C. Frank
samples are, in a sense, uninformative---they produce data without regard to how good this data is for learning.
1 code implementation • 27 Sep 2017 • Lea Frermann, Michael C. Frank
The impressive ability of children to acquire language is a widely studied phenomenon, and the factors influencing the pace and patterns of word learning remains a subject of active research.
no code implementations • TACL 2013 • Minh-Thang Luong, Michael C. Frank, Mark Johnson
Grounded language learning, the task of mapping from natural language to a representation of meaning, has attracted more and more interest in recent years.