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- W4288278521 abstract "The dialogue management is a task of conversational artificial intelligence. The goal of the dialogue manager is to select the appropriate response to the conversational partner conditioned by the input message and recent dialogue state. Hybrid Code Networks is one of the models of dialogue managers, which uses an average of word embeddings and bag-of-words as input features. We perform experiments on Dialogue bAbI Task 6 and Alquist Conversational Dataset. The experiments show that the convolutional neural network used as an input layer of the Hybrid Code Network improves the model's turn accuracy." @default.
- W4288278521 created "2022-07-28" @default.
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- W4288278521 date "2019-07-28" @default.
- W4288278521 modified "2023-09-27" @default.
- W4288278521 title "Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy" @default.
- W4288278521 doi "https://doi.org/10.48550/arxiv.1907.12162" @default.
- W4288278521 hasPublicationYear "2019" @default.
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