Multimodal recommender systems: A survey
The recommender system (RS) has been an integral toolkit of online services. They are
equipped with various deep learning techniques to model user preference based on …
equipped with various deep learning techniques to model user preference based on …
A comprehensive survey on relation extraction: Recent advances and new frontiers
Relation extraction (RE) involves identifying the relations between entities from underlying
content. RE serves as the foundation for many natural language processing (NLP) and …
content. RE serves as the foundation for many natural language processing (NLP) and …
A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal
Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on
mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research …
mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research …
Multi-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 …
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …
Information screening whilst exploiting! multimodal relation extraction with feature denoising and multimodal topic modeling
Existing research on multimodal relation extraction (MRE) faces two co-existing challenges,
internal-information over-utilization and external-information under-exploitation. To combat …
internal-information over-utilization and external-information under-exploitation. To combat …
Grounded multimodal named entity recognition on social media
Abstract In recent years, Multimodal Named Entity Recognition (MNER) on social media has
attracted considerable attention. However, existing MNER studies only extract entity-type …
attracted considerable attention. However, existing MNER studies only extract entity-type …
Structure guided multi-modal pre-trained transformer for knowledge graph reasoning
Multimodal knowledge graphs (MKGs), which intuitively organize information in various
modalities, can benefit multiple practical downstream tasks, such as recommendation …
modalities, can benefit multiple practical downstream tasks, such as recommendation …
Joint multimodal entity-relation extraction based on edge-enhanced graph alignment network and word-pair relation tagging
Multimodal named entity recognition (MNER) and multimodal relation extraction (MRE) are
two fundamental subtasks in the multimodal knowledge graph construction task. However …
two fundamental subtasks in the multimodal knowledge graph construction task. However …
Knowledge graphs meet multi-modal learning: A comprehensive survey
Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
Multimodal aspect-based sentiment analysis: a survey of tasks, methods, challenges and future directions
With the development of social media, users increasingly tend to express their sentiments
(broadly including sentiment polarities, emotions and sarcasm, etc.) associated with fine …
(broadly including sentiment polarities, emotions and sarcasm, etc.) associated with fine …