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

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

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...

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Bibliographic Details
Main Author: Thia, Jeremy Ming Xuan
Other Authors: Chng Eng Siong
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:http://hdl.handle.net/10356/79003
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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