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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/79003 |
| _version_ | 1824454560438026240 |
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| author | Thia, Jeremy Ming Xuan |
| author2 | Chng Eng Siong |
| author_facet | Chng Eng Siong Thia, Jeremy Ming Xuan |
| author_sort | Thia, Jeremy Ming Xuan |
| collection | NTU |
| description | 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. |
| first_indexed | 2025-02-19T03:24:15Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/79003 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:24:15Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/790032023-03-03T20:29:20Z Keyword and named entity recognition on air traffic control (ATC) data Thia, Jeremy Ming Xuan Chng Eng Siong School of Computer Science and Engineering Engineering::Computer science and engineering::Computing methodologies::Document and text processing Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence 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. Bachelor of Engineering (Computer Science) 2019-11-25T01:13:21Z 2019-11-25T01:13:21Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/79003 en Nanyang Technological University 35 p. application/pdf |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Document and text processing Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Thia, Jeremy Ming Xuan Keyword and named entity recognition on air traffic control (ATC) data |
| title | Keyword and named entity recognition on air traffic control (ATC) data |
| title_full | Keyword and named entity recognition on air traffic control (ATC) data |
| title_fullStr | Keyword and named entity recognition on air traffic control (ATC) data |
| title_full_unstemmed | Keyword and named entity recognition on air traffic control (ATC) data |
| title_short | Keyword and named entity recognition on air traffic control (ATC) data |
| title_sort | keyword and named entity recognition on air traffic control atc data |
| topic | Engineering::Computer science and engineering::Computing methodologies::Document and text processing Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | http://hdl.handle.net/10356/79003 |
| work_keys_str_mv | AT thiajeremymingxuan keywordandnamedentityrecognitiononairtrafficcontrolatcdata |