FGSI: distant supervision for relation extraction method based on fine-grained semantic information
Abstract Relation extraction is one of the important steps in building a knowledge graph. Its main objective is to extract semantic relationships from identified entity pairs in sentences, playing a crucial role in semantic understanding and knowledge graph construction. Remote supervised relation e...
Main Authors: | Chenghong Sun, Weidong Ji, Guohui Zhou, Hui Guo, Zengxiang Yin, Yuqi Yue |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-41354-4 |
Similar Items
-
Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network
by: Xiaoye Ouyang, et al.
Published: (2020-11-01) -
Augmenting ontology alignment by semantic embedding and distant supervision
by: Chen, J, et al.
Published: (2021) -
Distantly Supervised Relation Extraction via Contextual Information Interaction and Relation Embeddings
by: Huixin Yin, et al.
Published: (2023-09-01) -
Weakly Supervised Semantic and Attentive Data Mixing Augmentation for Fine-Grained Visual Categorization
by: Mengqi He, et al.
Published: (2022-01-01) -
Distant Supervision for Relation Extraction with Ranking-Based Methods
by: Yang Xiang, et al.
Published: (2016-05-01)