Pre-trained Models for Natural Language Processing: A Survey

03/18/2020 ∙ by Xipeng Qiu, et al. ∙ 0

Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs for NLP. We first briefly introduce language representation learning and its research progress. Then we systematically categorize existing PTMs based on a taxonomy with four perspectives. Next, we describe how to adapt the knowledge of PTMs to the downstream tasks. Finally, we outline some potential directions of PTMs for future research. This survey is purposed to be a hands-on guide for understanding, using, and developing PTMs for various NLP tasks.



There are no comments yet.


page 1

page 2

page 3

page 4

Code Repositories


Must Read Papers for Text Style Transfer with Transformer Models

view repo
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.