[NAACL 2022 Findings] Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
-
Updated
Jul 17, 2023 - Python
[NAACL 2022 Findings] Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
[IJCAI 2024] Continual Multimodal Knowledge Graph Construction
[CIKM'24] Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation
Knowledge Capturing from Multimodal Video-Textual Knowledge-Entity Linking
RConE algorithm for logical query answering over multimodal knowledge graphs
MMIE is a multimodal open information extraction library for constructing Mutimodal Knowledge Graphs (MMKGs).
Add a description, image, and links to the multimodal-knowledge-graph topic page so that developers can more easily learn about it.
To associate your repository with the multimodal-knowledge-graph topic, visit your repo's landing page and select "manage topics."