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Ning Dai
Researcher at Fudan University
Publications - 4
Citations - 1297
Ning Dai is an academic researcher from Fudan University. The author has contributed to research in topics: Sentence & Transformer (machine learning model). The author has an hindex of 4, co-authored 4 publications receiving 381 citations.
Papers
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Journal ArticleDOI
Pre-trained Models for Natural Language Processing: A Survey
TL;DR: Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era as mentioned in this paper, and a comprehensive review of PTMs for NLP can be found in this survey.
Journal ArticleDOI
Pre-trained Models for Natural Language Processing: A Survey
TL;DR: This survey is purposed to be a hands-on guide for understanding, using, and developing PTMs for various NLP tasks.
Proceedings ArticleDOI
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
TL;DR: The Style Transformer is proposed, which makes no assumption about the latent representation of source sentence and equips the power of attention mechanism in Transformer to achieve better style transfer and better content preservation.
Posted Content
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
TL;DR: This article proposed the Style Transformer, which makes no assumption about the latent representation of source sentence and equips the power of attention mechanism in Transformer to achieve better style transfer and better content preservation.