Disentangling syntactics, semantics, and pragmatics in natural language processing
In the era of deep learning, the natural language processing (NLP) community has become increasingly reliant on large language models (LLM), which are essentially probabilistic black-boxes. Hence, when applying them to downstream applications, we can only entrust that the LLMs has learned the variou...
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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/10356/177426 |