Advancing low resource information extraction and dialogue system using data efficient methods

Advancing low resource information extraction and dialogue system using data efficient methods

This thesis presents an extensive study aimed at improving the efficacy of language models in situations characterized by limited data resources, a prevalent challenge in the field of natural language processing (NLP). The research emphasizes the development and refinement of data-efficient methods,...

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Bibliographic Details
Main Author: Ding, Bosheng
Other Authors: Joty Shafiq Rayhan
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Natural language processing
Large language models
Artificial intelligence
Machine learning
Online Access:https://hdl.handle.net/10356/179560

Internet

https://hdl.handle.net/10356/179560

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