Deep generative models for natural language processing
<p>Deep generative models are essential to Natural Language Processing (NLP) due to their outstanding ability to use unlabelled data, to incorporate abundant linguistic features, and to learn interpretable dependencies among data. As the structure becomes deeper and more complex, having an eff...
Hovedforfatter: | Miao, Y |
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Andre forfattere: | Blunsom, P |
Format: | Thesis |
Udgivet: |
2017
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Lignende værker
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Natural language processing as autoregressive generation
af: Lin, Xiang
Udgivet: (2023) -
Incremental generative models for syntactic and semantic natural language processing
af: Buys, J
Udgivet: (2017) -
Automatic question generation with natural language processing
af: Tran, Thuy Dung
Udgivet: (2022) -
Chinese poem generation using natural language processing
af: Wang, Jihan
Udgivet: (2023) -
Diffusion models for natural language processing
af: Hoang, Minh Nhat
Udgivet: (2024)