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On the State of the Art of Evaluation in Neural Language Models.
international conference on learning representations, (2018)
Ongoing innovations in recurrent neural network architectures have provided a steady influx of apparently state-of-the-art results on language modelling benchmarks. However, these have been evaluated using differing codebases and limited computational resources, which represent uncontrolled sources of experimental variation. We reevaluate...More
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