MEXN: Multi-Stage Extraction Network for Patent Document Classification
The patent document has different content for each paragraph, and the length of the document is also very long. Moreover, patent documents are classified hierarchically as multi-labels. Many works have employed deep neural architectures to classify the patent documents. Traditional document classifi...
Main Authors: | Juho Bai, Inwook Shim, Seog Park |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/18/6229 |
Similar Items
-
Research on Mapping Patent Document and Industrial Classification——Mapping Between the 2015 Annual Patents of Chinese Academy of Sciences and the Classification of Strategic Emerging Industries
by: Tian Chuang, et al.
Published: (2017-02-01) -
The Mapping Analysis Between the Cooperative Patent Classification System (CPC) and the International Patent Classification System (IPC)
by: Bai Linlin, et al.
Published: (2017-10-01) -
A Supervised Requirement-oriented Patent Classification Scheme Based on the Combination of Metadata and Citation Information
by: Fujin Zhu, et al.
Published: (2015-06-01) -
Analysis of Directed Technological Cross Impact Based on the Patent Co-classification
by: Li Ruixi, et al.
Published: (2018-06-01) -
A Hierarchical Feature Extraction Model for Multi-Label Mechanical Patent Classification
by: Jie Hu, et al.
Published: (2018-01-01)