NLINQ: A natural language interface for querying network performance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-05043-z.pdf
Reference33 articles.
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2. Xu Z, Wu H, Chen X, Wang Y, Yue Z (2022) Building a Natural Language Query and Control Interface for IoT Platforms. IEEE Access 10:68655–68668
3. Nassiri K, Akhloufi M (2022) Transformer models used for text-based question answering systems. Appl Intell. https://doi.org/10.1007/s10489-022-04052-8
4. Narechania A, Srinivasan A, Stasko J (2021) NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries. IEEE Trans Visual Comput Graphics 27(2):369–379
5. Isyanto H, Arifin AS, Suryanegara M (2020) Performance of Smart Personal Assistant Applications Based on Speech Recognition Technology using IoT-based Voice Commands. In: 2020 International conference on information and communication technology convergence (ICTC), pp 640–645
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