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Finite Automata Can be Linearly Decoded from Language-Recognizing RNNs
We study the internal representations that a recurrent neural network (RNN) uses while learning to recognize a regular formal language.
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
We investigate the internal representations that a recurrent neural network (RNN) uses while learning to recognize a regular formal language.
Data-Mining Textual Responses to Uncover Misconception Patterns
An important, yet largely unstudied, problem in student data analysis is to detect misconceptions from students' responses to open-response questions.
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