Comparing Transformers and RNNs on predicting human sentence processing data

19 May 2020Danny MerkxStefan L. Frank

Recurrent neural networks (RNNs) have long been an architecture of interest for computational models of human sentence processing. The more recently introduced Transformer architecture has been shown to outperform recurrent neural networks on many natural language processing tasks but little is known about their ability to model human language processing... (read more)

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