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- W4380590180 abstract "The unprecedented expansion of network communications and the addition of new applications and services have made the network configuration a riddle for network engineers. At the same time, the daily interaction of the users with various network applications and the heterogeneous requirements they impose, necessitates a more direct communication between these two entities. Intent Based Networking (IBN) is a new technology that enables this by automating the network configuration, while allowing the users to directly interact with the network. The latter can be established through a natural language form, letting the users to freely express their high-level network requirements via a normal conversational approach. To this end, in this paper, we introduce ETS-Chatbot by extending the functionalities of a chatbot in order to be used in an IBN context. We position our work in an enterprise environment and we try to capture the high-level intent and map it into a model that can be understood by the network. The obtained results reveal that our framework can accurately classify the intent of a user with high precision, giving a strategic advantage to the enterprise." @default.
- W4380590180 created "2023-06-15" @default.
- W4380590180 creator A5003789929 @default.
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- W4380590180 date "2023-06-05" @default.
- W4380590180 modified "2023-09-25" @default.
- W4380590180 title "Intent Expression Through Natural Language Processing in an Enterprise Network" @default.
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- W4380590180 doi "https://doi.org/10.1109/hpsr57248.2023.10148046" @default.
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