Synthetic word embedding generation for downstream NLP task

• Main Author: Hoang, Viet
• Other Authors: Chng Eng Siong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/153201
• Institution: Nanyang Technological University

Distributional word representation such as GloVe and BERT has garnered immense popularity and research interest in recent years due to their success in many downstream NLP applications. However, a major limitation of word embedding is its inability to handle unknown words. To make sense...