Simplified Representation Learning Model Based on Parameter-Sharing for Knowledge Graph Completion

Author(s):  
Yashen Wang ◽  
Huanhuan Zhang ◽  
Yifeng Li ◽  
Haiyong Xie
Author(s):  
Ruobing Xie ◽  
Zhiyuan Liu ◽  
Huanbo Luan ◽  
Maosong Sun

Entity images could provide significant visual information for knowledge representation learning. Most conventional methods learn knowledge representations merely from structured triples, ignoring rich visual information extracted from entity images. In this paper, we propose a novel Image-embodied Knowledge Representation Learning model (IKRL), where knowledge representations are learned with both triple facts and images. More specifically, we first construct representations for all images of an entity with a neural image encoder. These image representations are then integrated into an aggregated image-based representation via an attention-based method. We evaluate our IKRL models on knowledge graph completion and triple classification. Experimental results demonstrate that our models outperform all baselines on both tasks, which indicates the significance of visual information for knowledge representations and the capability of our models in learning knowledge representations with images.


Author(s):  
Chunyun Zhang ◽  
Sheng Gao ◽  
Baolin Zhao ◽  
Lu Yang ◽  
Xiaoming Xi ◽  
...  

Author(s):  
Mohammad Fahmi Nugraha

The environmental problems at this time, especially the diversity of bat cave dwellers in the karst of Cibalong, Tasikmalaya should be given the special attention by all of the society elements, especially by the educators who must act real and solve the problems to give the view of knowledge to the community and the students in understanding the importance of bats which is considered as a pest and it is associated with mystical things. One of the effort is looking for and implementing  some of learning model based on the local wisdom to change and establish the scientific thinking of the sociaety and the students to analyze the presence of bat in term of the survival of the ecosystem. It is expected that bats and their habitats in Karst of Cibalong, Tasikmalaya can be preserved.


Sign in / Sign up

Export Citation Format

Share Document