Machine knowledge: Creation and curation of comprehensive knowledge bases

G Weikum, XL Dong, S Razniewski… - … and Trends® in …, 2021 - nowpublishers.com
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 …

Movie description

A Rohrbach, A Torabi, M Rohrbach, N Tandon… - International Journal of …, 2017 - Springer
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 …

YAGO: A multilingual knowledge base from wikipedia, wordnet, and geonames

T Rebele, F Suchanek, J Hoffart, J Biega… - The Semantic Web …, 2016 - Springer
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 …

ASER: A large-scale eventuality knowledge graph

H Zhang, X Liu, H Pan, Y Song… - Proceedings of the web …, 2020 - dl.acm.org
Understanding human's language requires complex world knowledge. However, existing
large-scale knowledge graphs mainly focus on knowledge about entities while ignoring …

Complex query answering on eventuality knowledge graph with implicit logical constraints

J Bai, X Liu, W Wang, C Luo… - Advances in Neural …, 2023 - proceedings.neurips.cc
Querying knowledge graphs (KGs) using deep learning approaches can naturally leverage
the reasoning and generalization ability to learn to infer better answers. Traditional neural …

[PDF][PDF] Webchild 2.0: Fine-grained commonsense knowledge distillation

N Tandon, G De Melo, G Weikum - Proceedings of ACL 2017 …, 2017 - aclanthology.org
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 …

Acquiring and modeling abstract commonsense knowledge via conceptualization

M He, T Fang, W Wang, Y Song - Artificial Intelligence, 2024 - Elsevier
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 …

Learning language-visual embedding for movie understanding with natural-language

A Torabi, N Tandon, L Sigal - arxiv preprint arxiv:1609.08124, 2016 - arxiv.org
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 …

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities

H Zhang, X Liu, H Pan, H Ke, J Ou, T Fang, Y Song - Artificial Intelligence, 2022 - Elsevier
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 …

FolkScope: Intention knowledge graph construction for e-commerce commonsense discovery

C Yu, W Wang, X Liu, J Bai, Y Song, Z Li, Y Gao… - arxiv preprint arxiv …, 2022 - arxiv.org
Understanding users' intentions in e-commerce platforms requires commonsense
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …