Задачи NLU
Заказать уникальное эссе- 5 5 страниц
- 10 + 10 источников
- Добавлена 01.07.2023
- Содержание
- Часть работы
- Список литературы
Список литературыX. Liu, A. CelikyilmazandR. Sarikaya, "Natural language understanding for partial queries," 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Scottsdale, AZ, USA, 2015, pp. 397-400, doi: 10.1109/ASRU.2015.7404822.L. Stephen, D. Geert, K. Andreas and P. Frank, "A non-biological AI approach towards natural language understanding," 2016 Future Technologies Conference (FTC), San Francisco, CA, USA, 2016, pp. 1300-1302, doi: 10.1109/FTC.2016.7821768.Щербаков И.В.ПО NLU. Свидетельство о регистрации программы для ЭВМ 2021665512, 28.09.2021. Заявка № 2021664820 от 24.09.2021.Поляков Е.В., Мажанов М.C., Качалова М.В., Поляков С.В. Разработка интеллектуального голосового ассистента и исследование обучающей способности алгоритмов распознавания естественного языка // Системный администратор. 2017. № 12 (181). С. 80-85.G. Bian, C. Gao, W. Che, D. Yanzhi, X. Yuan and H. Liu, "Natural Language Understanding for Chinese-based Service Robots," 2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE), Wuhan, China, 2022, pp. 1-3, doi: 10.1109/ICARCE55724.2022.10046487.R. Khummongkol and M. Yokota, "An approach to mental image based understanding of natural language: Focused on static and dynamic spatial relations," 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST), Taichung, Taiwan, 2017, pp. 254-259, doi: 10.1109/ICAwST.2017.8256457.Trang N.T.M., Shcherbakov M. Enhancing RASA NLU model for vietnamesechatbot // International Journal of Open Information Technologies. 2021. Т. 9. № 1. С. 31-36.Корней А.О., Крючкова Е.Н. Семантико-статистический алгоритм определения категорий аспектов в задачах сентимент-анализа // Известия ЮФУ. Технические науки. 2020. № 6 (216). С. 66-74.R. Khummongkol and M. Yokota, "Computer simulation of mental image processing in natural language understanding by human," 2015 IEEE 7th International Conference on Awareness Science and Technology (iCAST), Qinhuangdao, China, 2015, pp. 78-83, doi: 10.1109/ICAwST.2015.7314024.R. Khummongkol, A. Samart, S. Chitthong and M. Yokota, "The Prototype Development of Thai Language Understanding based on Mental Image Directed Semantic Theory," 2021 25th International Computer Science and Engineering Conference (ICSEC), Chiang Rai, Thailand, 2021, pp. 167-172, doi: 10.1109/ICSEC53205.2021.9684619.
1.X. Liu, A. Celikyilmaz and R. Sarikaya, "Natural language understanding for partial queries," 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Scottsdale, AZ, USA, 2015, pp. 397-400, doi: 10.1109/ASRU.2015.7404822.
2.L. Stephen, D. Geert, K. Andreas and P. Frank, "A non-biological AI approach towards natural language understanding," 2016 Future Technologies Conference (FTC), San Francisco, CA, USA, 2016, pp. 1300-1302, doi: 10.1109/FTC.2016.7821768.
3.Щербаков И.В. ПО NLU. Свидетельство о регистрации программы для ЭВМ 2021665512, 28.09.2021. Заявка № 2021664820 от 24.09.2021.
4.Поляков Е.В., Мажанов М.C., Качалова М.В., Поляков С.В. Разработка интеллектуального голосового ассистента и исследование обучающей способности алгоритмов распознавания естественного языка // Системный администратор. 2017. № 12 (181). С. 80-85.
5.G. Bian, C. Gao, W. Che, D. Yanzhi, X. Yuan and H. Liu, "Natural Language Understanding for Chinese-based Service Robots," 2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE), Wuhan, China, 2022, pp. 1-3, doi: 10.1109/ICARCE55724.2022.10046487.
6.R. Khummongkol and M. Yokota, "An approach to mental image based understanding of natural language: Focused on static and dynamic spatial relations," 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST), Taichung, Taiwan, 2017, pp. 254-259, doi: 10.1109/ICAwST.2017.8256457.
7.Trang N.T.M., Shcherbakov M. Enhancing RASA NLU model for vietnamese chatbot // International Journal of Open Information Technologies. 2021. Т. 9. № 1. С. 31-36.
8.Корней А.О., Крючкова Е.Н. Семантико-статистический алгоритм определения категорий аспектов в задачах сентимент-анализа // Известия ЮФУ. Технические науки. 2020. № 6 (216). С. 66-74.
9.R. Khummongkol and M. Yokota, "Computer simulation of mental image processing in natural language understanding by human," 2015 IEEE 7th International Conference on Awareness Science and Technology (iCAST), Qinhuangdao, China, 2015, pp. 78-83, doi: 10.1109/ICAwST.2015.7314024.
10.R. Khummongkol, A. Samart, S. Chitthong and M. Yokota, "The Prototype Development of Thai Language Understanding based on Mental Image Directed Semantic Theory," 2021 25th International Computer Science and Engineering Conference (ICSEC), Chiang Rai, Thailand, 2021, pp. 167-172, doi: 10.1109/ICSEC53205.2021.9684619.