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...
מחבר ראשי: | Miao, Y |
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מחברים אחרים: | Blunsom, P |
פורמט: | Thesis |
יצא לאור: |
2017
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פריטים דומים
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Natural language processing as autoregressive generation
מאת: Lin, Xiang
יצא לאור: (2023) -
Incremental generative models for syntactic and semantic natural language processing
מאת: Buys, J
יצא לאור: (2017) -
Automatic question generation with natural language processing
מאת: Tran, Thuy Dung
יצא לאור: (2022) -
Chinese poem generation using natural language processing
מאת: Wang, Jihan
יצא לאור: (2023) -
Enhancement of natural language processing approach for automated generation of object constraint language /
מאת: Samin Salemi, 1985-, author, et al.
יצא לאור: (2015)