Data-driven and NLP for long document learning representation

Data-driven and NLP for long document learning representation

Natural language processing (NLP) has been advancing at an incredible pace. However, research in long-document representation has not been deeply explored despite its importance. Semantic matching for long documents has many applications including citation and article recommendation. In an increasin...

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Bibliographic Details
Main Author: Ko, Seoyoon
Other Authors: Lihui CHEN
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/150258

Internet

https://hdl.handle.net/10356/150258

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