Machine knowledge: Creation and curation of comprehensive knowledge bases
Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
Advanced semantics for commonsense knowledge extraction
Commonsense knowledge (CSK) about concepts and their properties is useful for AI
applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others …
applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others …
Refined commonsense knowledge from large-scale web contents
Commonsense knowledge (CSK) about concepts and their properties is helpful for AI
applications. Prior works, such as ConceptNet, have compiled large CSK collections …
applications. Prior works, such as ConceptNet, have compiled large CSK collections …
Qen: Applicable taxonomy completion via evaluating full taxonomic relations
Taxonomy is a fundamental type of knowledge graph for a wide range of web applications
like searching and recommendation systems. To keep a taxonomy automatically updated …
like searching and recommendation systems. To keep a taxonomy automatically updated …
Enquire one's parent and child before decision: Fully exploit hierarchical structure for self-supervised taxonomy expansion
Taxonomy is a hierarchically structured knowledge graph that plays a crucial role in
machine intelligence. The taxonomy expansion task aims to find a position for a new term in …
machine intelligence. The taxonomy expansion task aims to find a position for a new term in …
Learning what you need from what you did: Product taxonomy expansion with user behaviors supervision
Taxonomies have been widely used in various domains to underpin numerous applications.
Specially, product taxonomies serve an essential role in the e-commerce domain for the …
Specially, product taxonomies serve an essential role in the e-commerce domain for the …
Hierarchical user intention–preference for sequential recommendation with relation-aware heterogeneous information network embedding
Existing recommender systems usually make recommendations by exploiting the binary
relationship between users and items, and assume that users only have flat preferences for …
relationship between users and items, and assume that users only have flat preferences for …
GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation
Taxonomy is formulated as directed acyclic graphs or trees of concepts that support many
downstream tasks. Many new coming concepts need to be added to an existing taxonomy …
downstream tasks. Many new coming concepts need to be added to an existing taxonomy …
[PDF][PDF] Completing Taxonomies with Relation-Aware Mutual Attentions
Taxonomies serve many applications with a structural representation of knowledge. To
incorporate emerging concepts into existing taxonomies, the task of taxonomy completion …
incorporate emerging concepts into existing taxonomies, the task of taxonomy completion …
Mining tag relationships in cqa sites
K Suryamukhi, PD Vivekananda, M Singh - Conceptual Modeling: 40th …, 2021 - Springer
Abstract Community Question Answer (CQA) sites are very popular means for knowledge
transfer in the form of questions and answers. They rely on tags to connect the askers with …
transfer in the form of questions and answers. They rely on tags to connect the askers with …