Work

Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing

Year: 2021

Type: conference-paper

Source: International Symposium on Computing and Networking

DOI: 10.1109/candar53791.2021.00022

Authors: Akihiko Kasagi, Masahiro Asaoka, Akihiro Tabuchi, Yosuke Oyama, Takumi Honda, Yasufumi Sakai, Thang Dang, Tsuguchika Tabaru

Institution: Fujitsu (Japan)

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Institute of Advanced Industrial Science and Technology

OpenAlex ID: W4200219015

FWCI: 0.115

Cites: 21

Cited by: 2

Related to: 10