Towards a Deeper Understanding of Neural Language Generation
In recent years, the field of language modelling has witnessed exciting developments. Especially, thanks to large-scale data, powerful model architectures, and high-speed parallel computing devices, researchers are able to train language models which can generate realistic text. However, our underst...
Main Author: | He, Tianxing |
---|---|
Other Authors: | Glass, James R. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
|
Online Access: | https://hdl.handle.net/1721.1/144922 |
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