no code implementations • IJCNLP 2019 • Atticus Geiger, Ignacio Cases, Lauri Karttunen, Chris Potts
Deep learning models for semantics are generally evaluated using naturalistic corpora.
no code implementations • NAACL 2019 • Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, S Agarwal, hini, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen
The model jointly optimizes the parameters of the functions and the meta-learner{'}s policy for routing inputs through those functions.
no code implementations • 30 Oct 2018 • Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts
Standard evaluations of deep learning models for semantics using naturalistic corpora are limited in what they can tell us about the fidelity of the learned representations, because the corpora rarely come with good measures of semantic complexity.