Papers Multi-modal Knowledge Graph
“Multi-modal Knowledge Graph” 태그가 달린 논문 26편 · 필터 해제
Multi-modal Siamese Network for Entity Alignment
The booming of multi-modal knowledge graphs (MMKGs) has raised the imperative demand for multi-modal entity alignment techniques, which facilitate the integration of multiple MMKGs from separate data sources. Unfortunate…
AttributeContrastive LearningEntity AlignmentKnowledge Graphs+2LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic. This paper presents a medical conversational question answering (CQA) system b…
Conversational Question AnsweringDialogue GenerationEntity DisambiguationKnowledge Graphs+3Multi-Modal Knowledge Graph Construction and Application: A Survey
Recent years have witnessed the resurgence of knowledge engineering which is featured by the fast growth of knowledge graphs. However, most of existing knowledge graphs are represented with pure symbols, which hurts the …
graph constructionKnowledge GraphsMulti-modal Knowledge GraphSurveyAliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce
Live streaming is becoming an increasingly popular trend of sales in E-commerce. The core of live-streaming sales is to encourage customers to purchase in an online broadcasting room. To enable customers to better unders…
Multi-modal Knowledge GraphQuestion AnsweringBoosting Entity-aware Image Captioning with Multi-modal Knowledge Graph
Entity-aware image captioning aims to describe named entities and events related to the image by utilizing the background knowledge in the associated article. This task remains challenging as it is difficult to learn the…
Graph AttentionImage CaptioningMulti-modal Knowledge GraphA Relational-learning Perspective to Multi-label Chest X-ray Classification
Multi-label classification of chest X-ray images is frequently performed using discriminative approaches, i.e. learning to map an image directly to its binary labels. Such approaches make it challenging to incorporate au…
ClassificationGeneral ClassificationLink PredictionMulti-Label Classification+4