Co-evolution of Neural Network Parameters for the Task of Natural Language Processing
نویسنده
چکیده
Several researchers have successfully used Neural Networks (NN) to process natural languages. In most of cases, decisions about what topology to use are based on previous understanding of how the NN should attack the problem at hand. This paper presents a method for automatically evolving both topologies and learning parameters for the task of processing sentences in English. Results are presented and analyzed as a way of identifying which parameters, and what values for these parameters, affect performance for this task.
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