ABSTRACT
With the development of science and technology, more and more products appeared in the airport terminal to provide services for the passenger in civil aviation. However, due to the lack of understanding of natural language by scientific and technological equipment, the repeated consultation of the same question often fails to give satisfactory answers to the passengers, which reduces the service efficiency and friendliness. In order to provide better services for passengers in civil aviation, we aim at the common problems of passengers in the airport environment, simulate the possible service demands of passengers, analyze the key feature data in the demands, and combine the joint identification model of DIET to realize the accurate understanding of the intention in the natural language of passengers. In this paper, Python tools are used for making simulation experiments of natural language and intention understanding to verify the feasibility of the implementation method in this paper.
- Zhang Wei (2020).Research on Recommendation Algorithm Combined with Temporal and Spatial Data Features [D]. Shandong University.Google Scholar
- Qi Xijing, Tang Liang, Kang Weixin, Qin Jiaojiao (2020). Multi-objective Decision-making Method for Maintenance Scheme of Highway Bridge Beam and Bridge Deck [J]. Journal of Northeastern University (Natural Science Edition),41(07):1033-1040.Google Scholar
- Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and ChrisDyer (2016). Neural architectures for named entity recognition. CoRR, abs/1603.01360.Google Scholar
- Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin (2017). Attention is all you need. In Advances in neural information processing systems, pages 5998–6008.Google Scholar
- Yifan Xia and Baosheng Liang (2020). Gaze Estimation Based on Deep Learning Method. In Emrouznejad, A. (eds) Proceedings of the 4th International Conference on Computer Science and Application Engineering (CSAE 2020). Association for Computing Machinery, New York, NY, USA, Article 25, 1–6. https://doi.org/10.1145/3424978.3425003.Google ScholarDigital Library
- Xinghui Wu, Zaifeng Shi, Yuping Zhou, and Haihua Xing (2020). The Application of Three Machine Learning Algorithms in Student Performance Evaluation. In Emrouznejad, A. (eds) Proceedings of the 4th International Conference on Computer Science and Application Engineering (CSAE 2020). Association for Computing Machinery, New York, NY, USA, Article 93, 1-5. https://doi.org/10.1145/3424978.3425072.Google ScholarDigital Library
- Jian Zhu, Yingyu Hou, and Ziqiang Liu (2020). Simulation of a Slender Fish Swimming Based on Machine Learning Method. In Emrouznejad, A. (eds) Proceedings of the 4th International Conference on Computer Science and Application Engineering (CSAE 2020). Association for Computing Machinery, New York, NY, USA, Article 83, 1-4.Google ScholarDigital Library
Index Terms
- An Approach to Natural Language Intention Understanding of Civil Aviation Passengers Based on DIET Architecture
Recommendations
Impacts of Dual Head-Up Display Use on Workload in the Civil Aviation Flight Deck: Implications for Crew Coordination
Virtual, Augmented and Mixed RealityAbstractIn a two-person flight crew, the ability of each crewmember to maintain a shared mental model during flight is foundational to flight safety. The addition of a head-up display (HUD) for the pilot flying (PF) represents a departure from traditional ...
Analysis and Specification for Civil Aviation Information System
ICCCS '09: Proceedings of the 2009 International Conference on Computer and Communications SecurityThe significance of building the civil aviation information systems is discussed. Followed by the comparison of China's civil aviation information systems with foreign countries, the important factors of the information system are put forward. By making ...
Research on Unstable Approach Detection of Civil Aviation Aircraft
In order to avoid serious civil aviation accidents caused by low altitude and unstable approach, the empirical model of unstable approach below 1000 feet is established by means of pilot survey. By using AGS decoding platform, unstable events are ...
Comments