Automatic document summarization
The information available online has been increasing exponentially and it is not going to slow down. The ability to extract information efficiently out from these huge data becomes crucial and necessary. As a result, document summarization as a part of Natural Language Processing (NLP), gains its at...
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sg-ntu-dr.10356-778132023-07-07T16:19:02Z Automatic document summarization Chen, Fan Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The information available online has been increasing exponentially and it is not going to slow down. The ability to extract information efficiently out from these huge data becomes crucial and necessary. As a result, document summarization as a part of Natural Language Processing (NLP), gains its attention by the machine learning community. This project aims to explore the latest breakthrough by Google, BERT, as part of the research and how to use part of its feature and enhance our summarization system. This report will explain some of the technique behind the building of BERT and concentrates on the feature, encoding, that this project used. This report will also include the setup and the parameter and algorithm used for this project in order for continuation of this project for future reference. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-06T08:25:47Z 2019-06-06T08:25:47Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77813 en Nanyang Technological University 37 p. application/pdf |
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Nanyang Technological University |
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Singapore Singapore |
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DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Chen, Fan Automatic document summarization |
| description |
The information available online has been increasing exponentially and it is not going to slow down. The ability to extract information efficiently out from these huge data becomes crucial and necessary. As a result, document summarization as a part of Natural Language Processing (NLP), gains its attention by the machine learning community.
This project aims to explore the latest breakthrough by Google, BERT, as part of the research and how to use part of its feature and enhance our summarization system. This report will explain some of the technique behind the building of BERT and concentrates on the feature, encoding, that this project used. This report will also include the setup and the parameter and algorithm used for this project in order for continuation of this project for future reference. |
| author2 |
Mao Kezhi |
| author_facet |
Mao Kezhi Chen, Fan |
| format |
Final Year Project |
| author |
Chen, Fan |
| author_sort |
Chen, Fan |
| title |
Automatic document summarization |
| title_short |
Automatic document summarization |
| title_full |
Automatic document summarization |
| title_fullStr |
Automatic document summarization |
| title_full_unstemmed |
Automatic document summarization |
| title_sort |
automatic document summarization |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10356/77813 |
| _version_ |
1772827801663045632 |