Natural language processing as autoregressive generation

The advances in deep learning have led to great achievements in many Natural Language Processing (NLP) tasks. With the nature of language, i.e., sequential data, most NLP tasks can be framed into the sequence learning framework, such as text generation. As one of the most important foundations for m...

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Bibliographic Details
Main Author: Lin, Xiang
Other Authors: Joty Shafiq Rayhan
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/168487
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Institution: Nanyang Technological University
Language: English