Natural Language Processing (NLP) in Aviation Safety: Systematic Review of Research and Outlook into the Future

C Yang, C Huang - Aerospace, 2023 - mdpi.com
Advanced digital data-driven applications have evolved and significantly impacted the
transportation sector in recent years. This systematic review examines natural language …

A survey of pre-trained language models for processing scientific text

X Ho, AKD Nguyen, AT Dao, J Jiang, Y Chida… - arXiv preprint arXiv …, 2024 - arxiv.org
The number of Language Models (LMs) dedicated to processing scientific text is on the rise.
Keeping pace with the rapid growth of scientific LMs (SciLMs) has become a daunting task …

BERT for aviation text classification

X Jing, A Chennakesavan, C Chandra… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3438. vid The advent of
transformer-based models pre-trained on large-scale text corpora has revolutionized Natural …

An Extended MBSE Framework for Regulatory Analysis of Aircraft Architectures

MV Bendarkar, E Harrison, TM Fields… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3611. vid A type certificate is a
design approval issued by the FAA when the applicant demonstrates that an aircraft design …

[HTML][HTML] Large Language Models for Intelligent Transportation: A Review of the State of the Art and Challenges

S Wandelt, C Zheng, S Wang, Y Liu, X Sun - Applied Sciences, 2024 - mdpi.com
Large Language Models (LLMs), based on their highly developed ability to comprehend and
generate human-like text, promise to revolutionize all aspects of society. These LLMs …

[PDF][PDF] The Effectiveness of Large Language Models for Textual Analysis in Air Transportation

G Jarry, P Very, R Dalmau - EasyChair preprints, 2024 - easychair.org
This research investigates the use of large language models and machine learning
techniques to identify the primary triggers for air traffic flow management regulations. The …

Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures

S Inoue, MT Nguyen, H Mizokuchi, TAD Nguyen… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper introduces a new IncidentAI dataset for safety prevention. Different from prior
corpora that usually contain a single task, our dataset comprises three tasks: named entity …

Large models in transportation infrastructure: a perspective

Y Du - Intelligent Transportation Infrastructure, 2024 - academic.oup.com
In late 2022, OpenAI launched ChatGPT and quickly came into the spotlight based on the
development of large language modeling technology. ChatGPT is regarded as a new …

Human Fatality Estimation in Aircraft Accidents

V Pramanik, M Maliha, SK Jha - NAECON 2024-IEEE National …, 2024 - ieeexplore.ieee.org
Aircraft accidents have significant implications for safety. Estimating fatalities is crucial for
analysis and policy-making. As of April 2024, there have been 33 incidents with over 200 …

Expanding Aviation Knowledge Graph Using Deep Learning for Safety Analysis

X Jing, K Sawant, MV Bendarkar, LR Elias… - AIAA AVIATION FORUM …, 2024 - arc.aiaa.org
This study outlines the expansion and applications of Aviation Knowledge Graph (Aviation-
KG), available openly, with a focus on aviation safety. Using Deep Learning (DL) Natural …