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A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents
2016
Computational Intelligence and Neuroscience
Spoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's intention during the dialogue and uses this prediction to dynamically adapt the dialogue model of the system taking into consideration the user's needs and preferences. We have evaluated our proposal to develop a user-adapted spoken dialogue system
doi:10.1155/2016/8402127
pmid:26819592
pmcid:PMC4706878
fatcat:qpypf2vut5eynbi6spgovpa5ni