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 …

Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …

A large body of research work has proposed verification techniques for rumors spreading in
social media that mainly relied on subjective evidence, eg, propagation networks or user …

Providing machines with comprehensive knowledge of the world's entities and their
relationships has been a long-standing vision and challenge for AI. Over the last 15 years …

Over the last decade, several regulatory bodies have started requiring the disclosure of non-
financial information from publicly listed companies, in light of the investors' increasing …

Recent work in Natural Language Processing and Computer Vision has been using textual
information--eg, entity names and descriptions--available in knowledge graphs to ground …

Representation learning of knowledge graphs (KGs) aims to embed both entities and
relations as vectors in a continuous low-dimensional space, which has facilitated various …

Answering complex questions over knowledge bases (KB-QA) faces huge input data with
billions of facts, involving millions of entities and thousands of predicates. For efficiency, QA …

Data accuracy is a central dimension of data quality, especially when dealing with
Knowledge Graphs (KGs). Auditing the accuracy of KGs is essential to make informed …

Job‐resume matching (JRM) is the core of online recruitment services for predicting the
matching degree between a job post and a resume. Most of the existing methods for JRM …