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 …
A survey on multi-modal summarization
The new era of technology has brought us to the point where it is convenient for people to
share their opinions over an abundance of platforms. These platforms have a provision for …
share their opinions over an abundance of platforms. These platforms have a provision for …
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 …
Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs
We study a conversational reasoning model that strategically traverses through a large-
scale common fact knowledge graph (KG) to introduce engaging and contextually diverse …
scale common fact knowledge graph (KG) to introduce engaging and contextually diverse …
[HTML][HTML] Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
[HTML][HTML] Neural entity linking: A survey of models based on deep learning
This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …
systems developed since 2015 as a result of the “deep learning revolution” in natural …
Sensemood: depression detection on social media
More than 300 million people have been affected by depression all over the world. Due to
the medical equipment and knowledge limitations, most of them are not diagnosed at the …
the medical equipment and knowledge limitations, most of them are not diagnosed at the …
Multi-modal knowledge graphs representation learning via multi-headed self-attention
E Wang, Q Yu, Y Chen, W Slamu, X Luo - Information Fusion, 2022 - Elsevier
Traditional knowledge graphs (KG) representation learning focuses on the link information
between entities, and the effectiveness of learning is influenced by the complexity of KGs …
between entities, and the effectiveness of learning is influenced by the complexity of KGs …
Entity linking meets deep learning: Techniques and solutions
Entity linking (EL) is the process of linking entity mentions appearing in web text with their
corresponding entities in a knowledge base. EL plays an important role in the fields of …
corresponding entities in a knowledge base. EL plays an important role in the fields of …
Relation-enhanced negative sampling for multimodal knowledge graph completion
Knowledge Graph Completion (KGC), aiming to infer the missing part of Knowledge Graphs
(KGs), has long been treated as a crucial task to support downstream applications of KGs …
(KGs), has long been treated as a crucial task to support downstream applications of KGs …