A shallow neural network mapping item content features to 6-dimensional embeddings, fit jointly with latent abilities via Monte Carlo EM, achieves competitive held-out calibration on two Duolingo English Test task types.
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Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM
A shallow neural network mapping item content features to 6-dimensional embeddings, fit jointly with latent abilities via Monte Carlo EM, achieves competitive held-out calibration on two Duolingo English Test task types.