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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 | Schools: | School of Computer Science and Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| jeremythia-fypreport.pdf Restricted Access | 1.15 MB | Adobe PDF | View/Open |
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