Leveraging linguistic knowledge to enhance low-resource NLP applications

• Main Author: Zhu, Zixiao
• Other Authors: Mao Kezhi
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Computer and Information Science; Engineering; Natural language processing; Linguisitc knowledge enhancing; Pre-trained language model; Large language model
• Online Access: https://hdl.handle.net/10356/182513
• Institution: Nanyang Technological University

Natural Language Processing (NLP) empowers computers to process and analyze vast amounts of text data. The introduction of pre-trained language models (PLMs) has significantly advanced NLP by incorporating deep learning algorithms, thereby enhancing the handling of natural language understanding (NL...