PaperNet: A Dataset and Benchmark for Fine-Grained Paper Classification
Document classification is an important area in Natural Language Processing (NLP). Because a huge amount of scientific papers have been published at an accelerating rate, it is beneficial to carry out intelligent paper classifications, especially fine-grained classification for researchers. However,...
Main Authors: | Tan Yue, Yong Li, Xuzhao Shi, Jiedong Qin, Zijiao Fan, Zonghai Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/9/4554 |
Similar Items
-
Grain by-products and Saccharomyces cerevisiae application in paper packaging material: impact on physical–mechanical and barrier properties
by: Zita Markevičiūtė, et al.
Published: (2024-04-01) -
Reading Courtesy Amounts on Handwritten Paper Checks
by: Palacios, Rafael, et al.
Published: (2002) -
An analysis of characteristics and structures embedded in data papers
by: Ya-Ning Chen
Published: (2017-03-01) -
Paper [filem]
Published: ([n.d) -
Papers
by: 9460 British Printing Industries Federation
Published: (1971)