Keyword and named entity recognition on air traffic control (ATC) data

• 主要作者: Thia, Jeremy Ming Xuan
• 其他作者: Chng Eng Siong
• 格式: Final Year Project
• 語言: English
• 出版: 2019
• 主題: Engineering::Computer science and engineering::Computing methodologies::Document and text processing; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: http://hdl.handle.net/10356/79003
• 機構: Nanyang Technological University

This project will explore several NLP tasks to perform named entity recognition on Air Traffic Control data, to be specific Air Traffic conversations. We will use a Bi-LSTM-CNN-CRF based custom named entity system to detect the entities. A demonstration of the working model will be presented as well...