An Entity Relation Extraction Method Based on Dynamic Context and Multi-Feature Fusion
Dynamic context selector, a kind of mask idea, will divide the matrix into some regions, selecting the information of region as the input of model dynamically. There is a novel thought that improvement is made on the entity relation extraction (ERE) by applying the dynamic context to the training. I...
Main Authors: | Xiaolin Ma, Kaiqi Wu, Hailan Kuang, Xinhua Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/3/1532 |
Similar Items
-
MCF-Net: Fusion Network of Facial and Scene Features for Expression Recognition in the Wild
by: Hui Xu, et al.
Published: (2022-10-01) -
A Keyword Detection and Context Filtering Method for Document Level Relation Extraction
by: Hailan Kuang, et al.
Published: (2022-02-01) -
Learn to Extract Building Outline from Misaligned Annotation through Nearest Feature Selector
by: Yuxuan Wang, et al.
Published: (2020-08-01) -
Multi-scale fusion visual attention network for facial micro-expression recognition
by: Hang Pan, et al.
Published: (2023-07-01) -
Multiscale Feature Extraction and Fusion of Image and Text in VQA
by: Siyu Lu, et al.
Published: (2023-04-01)