×
模态框(Modal)标题
在这里添加一些文本
Close
Close
Submit
Cancel
Confirm
×
模态框(Modal)标题
×
Home
Editorial Board
Guide to Authors
Call for Papers
Submission Guidelines
Formatting Guide
Print on Demand
Policy
OA Policy
AI Policy
Publication Ethics Statement
Preprint Policy
Data Sharing Policy
Author Signature Regulations
Archive
LIS
About
About Us
Development History
Contact us
中文
Figure/Table detail
"Problem-method" Joint Extraction Model in Scientific Literature Based on Syntax and Semantic Association
Kan Liu, Ye Li, Kaiwen Shi
Knowledge Management Forum
, 2024, 9(
4
): 353-366. DOI:
10.13266/j.issn.2095-5472.2024.026
${Sub}_{i,j}$
${ Act}_{i,j}$
${Obej}_{i,j}$
BERT模型
采用
多阶段微调的方式
BERT模型
利用
科技文献全文数据
BERT模型
面向
实际应用
BERT模型
构建
概念定义句自动识别模型
Table 1
Example table of SAO triplet extraction
Other figure/table from this article
Figure 1
Scientific literature “problem-method” identification model (NCGAT) flow
Table 1
Example table of SAO triplet extraction
Table 2
SAO association graph construction algorithm
Table 3
Examples table of research methods and questions in the “Y based on X” style title
Figure 3
Example of comparison between the title and abstract of a paper
Figure 4
Distribution of Chinese scientific literature dataset
Table 4
Experimental parameter table
Table 5
Baseline model comparison experiment (unit:%)
Table 6
Ablation experiment (unit:%)
Table 7
Comprehensive evaluation results (unit:%)