General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI. Many
of them are constructed pragmatically from web sources and are thus far from complete. This …

In knowledge graph completion (KGC), predicting triples involving emerging entities and/or
relations, which are unseen when the KG embeddings are learned, has become a critical …

Commonsense knowledge about everyday concepts is an important asset for AI
applications, such as question answering and chatbots. Recently, we have seen an …

General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI. Many
of them are constructed pragmatically from web sources, and are thus far from complete …

While most of the world's knowledge exists in a positive and affirmative form, negative
knowledge also plays a significant role by showing what is not true or what not to think, and …

Abstract Knowledge Graphs are used in various domains to represent knowledge about
entities and their relations. In the vast majority of cases, they capture what is known to be …

A knowledge graph is a powerful representation of real-world entities and their relations.
The vast majority of these relations are defined as positive statements, but the importance of …

This paper presents a new task of predicting the coverage of a text document for relation
extraction (RE): Does the document contain many relational tuples for a given entity …

Knowledge graphs represent facts about real-world entities. Most of these facts are defined
as positive statements. The negative statements are scarce but highly relevant under the …

Knowledge Graph (KG) Construction is the prerequisite for all other KG research and
applications. Researchers and engineers have proposed various approaches to build KGs …