Papers Relation Mapping
“Relation Mapping” 태그가 달린 논문 5편 · 필터 해제
AFFAKT: A Hierarchical Optimal Transport based Method for Affective Facial Knowledge Transfer in Video Deception Detection
The scarcity of high-quality large-scale labeled datasets poses a huge challenge for employing deep learning models in video deception detection. To address this issue, inspired by the psychological theory on the relatio…
Deception DetectionRelation MappingTransfer LearningAdvancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
Artificial intelligence (AI) has made remarkable progress across various domains, with large language models like ChatGPT gaining substantial attention for their human-like text-generation capabilities. Despite these ach…
Relation MappingSpatial ReasoningText GenerationAdaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition
Implicit discourse relation recognition (IDRR) aims at recognizing the discourse relation between two text segments without an explicit connective. Recently, the prompt learning has just been applied to the IDRR task wit…
Knowledge DistillationPrompt LearningRelationRelation Mapping+1FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework
Recent work for extracting relations from texts has achieved excellent performance. However, most existing methods pay less attention to the efficiency, making it still challenging to quickly extract relations from massi…
Language ModellingRelationRelation ExtractionRelation MappingHousE: Knowledge Graph Embedding with Householder Parameterization
The effectiveness of knowledge graph embedding (KGE) largely depends on the ability to model intrinsic relation patterns and mapping properties. However, existing approaches can only capture some of them with insufficien…
Graph EmbeddingKnowledge Graph EmbeddingRelationRelation Mapping