Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79003
Title: Keyword and named entity recognition on air traffic control (ATC) data
Authors: Thia, Jeremy Ming Xuan
Keywords: Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2019
Abstract: 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.
URI: http://hdl.handle.net/10356/79003
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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