Pre-training model based on the transfer learning in natural language processing
Transfer learning is to apply knowledge or patterns learned in a particular field or task to different but related areas or problem. It is very prominent in terms of scarcity of data and heterogeneity of domain distribution. In the field of natural language processing, transfer learning is embodied...
Saved in:
Main Author: | Tang, Jiayi |
---|---|
Other Authors: | Mao Kezhi |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78688 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Knowledge-aware representation learning for natural language processing applications
by: Zhang, Jiaheng
Published: (2023) -
Abstractive summarization framework based on pre-training and contrastive learning
by: Yi, Chenqi
Published: (2023) -
Research on linearization method of GaN power amplifier based on pre-distorter design
by: Tang, Jiayi
Published: (2023) -
An E-commerce chatbot with natural language processing ability
by: Quach, Trung Quan
Published: (2021) -
Chinese poem generation using natural language processing
by: Wang, Jihan
Published: (2023)