1 code implementation • 16 Apr 2023 • Sam van der Poel, Dakotah Lambert, Kalina Kostyszyn, Tiantian Gao, Rahul Verma, Derek Andersen, Joanne Chau, Emily Peterson, Cody St. Clair, Paul Fodor, Chihiro Shibata, Jeffrey Heinz
Evaluating machine learning (ML) systems on their ability to learn known classifiers allows fine-grained examination of the patterns they can learn, which builds confidence when they are applied to the learning of unknown classifiers.
no code implementations • COLING 2020 • Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
For some dimensions in the context vector, we show that their activations are highly correlated with the depth of phrase structures, such as VP and NP.
1 code implementation • 16 May 2017 • Enes Avcu, Chihiro Shibata, Jeffrey Heinz
Learning experiments were conducted with two types of Recurrent Neural Networks (RNNs) on six formal languages drawn from the Strictly Local (SL) and Strictly Piecewise (SP) classes.