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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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/179560 |