A joint entity and relation extraction framework for handling negative samples problems in named entity recognition
H Zhang, G Lin, K Chen, N Lin, L Cheng, A Yang - Applied Soft Computing, 2024 - Elsevier
Scientific articles and reports contain various domain-specific knowledge in the form of
entities and relations between them. In recent years, such knowledge including overlapping …
entities and relations between them. In recent years, such knowledge including overlapping …
Exploring the Role of Self-Adaptive Feature Words in Relation Quintuple Extraction for Scientific Literature
Y Liu, L Fu, X Xia, Y Zhang - Applied Sciences, 2024 - mdpi.com
Featured Application This paper proposes a method that can increase the connectivity of the
knowledge graph when it is constructed and improve usability, eg, retrieving more …
knowledge graph when it is constructed and improve usability, eg, retrieving more …
GFN: A novel joint entity and relation extraction model with redundancy and denoising strategies
X Sun, Q Guo, SQ Ge - Knowledge-Based Systems, 2024 - Elsevier
Joint entity and relation extraction refers to the extraction of entities and their corresponding
relationships in the given sentence, which has gained increasing attention in recent years …
relationships in the given sentence, which has gained increasing attention in recent years …
Joint Extraction of Entities and Relationships from Cyber Threat Intelligence based on Task-specific Fourier Network
H Lv, X Han, H Cui, P Wang, W Zuo… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
The increasing complexity of cyber threats and the emergence of new attack technologies
have brought huge challenges to attack incident analysis and source tracing. Using cyber …
have brought huge challenges to attack incident analysis and source tracing. Using cyber …