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Machine knowledge: Creation and curation of comprehensive knowledge bases
Equip** 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 …
Movie description
Audio description (AD) provides linguistic descriptions of movies and allows visually
impaired people to follow a movie along with their peers. Such descriptions are by design …
impaired people to follow a movie along with their peers. Such descriptions are by design …
YAGO: A multilingual knowledge base from wikipedia, wordnet, and geonames
YAGO is a large knowledge base that is built automatically from Wikipedia, WordNet and
GeoNames. The project combines information from Wikipedias in 10 different languages into …
GeoNames. The project combines information from Wikipedias in 10 different languages into …
ASER: A large-scale eventuality knowledge graph
Understanding human's language requires complex world knowledge. However, existing
large-scale knowledge graphs mainly focus on knowledge about entities while ignoring …
large-scale knowledge graphs mainly focus on knowledge about entities while ignoring …
Complex query answering on eventuality knowledge graph with implicit logical constraints
Querying knowledge graphs (KGs) using deep learning approaches can naturally leverage
the reasoning and generalization ability to learn to infer better answers. Traditional neural …
the reasoning and generalization ability to learn to infer better answers. Traditional neural …
[PDF][PDF] Webchild 2.0: Fine-grained commonsense knowledge distillation
Despite important progress in the area of intelligent systems, most such systems still lack
commonsense knowledge that appears crucial for enabling smarter, more human-like …
commonsense knowledge that appears crucial for enabling smarter, more human-like …
Acquiring and modeling abstract commonsense knowledge via conceptualization
Conceptualization, or viewing entities and situations as instances of abstract concepts in
mind and making inferences based on that, is a vital component in human intelligence for …
mind and making inferences based on that, is a vital component in human intelligence for …
Learning language-visual embedding for movie understanding with natural-language
Learning a joint language-visual embedding has a number of very appealing properties and
can result in variety of practical application, including natural language image/video …
can result in variety of practical application, including natural language image/video …
ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities
Commonsense knowledge acquisition and reasoning have long been a core artificial
intelligence problem. However, in the past, there has been a lack of scalable methods to …
intelligence problem. However, in the past, there has been a lack of scalable methods to …
FolkScope: Intention knowledge graph construction for e-commerce commonsense discovery
Understanding users' intentions in e-commerce platforms requires commonsense
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …