Automatic knowledge graph construction aims at manufacturing structured human
knowledge. To this end, much effort has historically been spent extracting informative fact …

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 …

The large number of potential applications from bridging web data with knowledge bases
have led to an increase in the entity linking research. Entity linking is the task to link entity …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Abstract Information on the Internet is fragmented and presented in different data sources,
which makes automatic knowledge harvesting and understanding formidable for machines …

Web tables constitute valuable sources of information for various applications, ranging from
Web search to Knowledge Base (KB) augmentation. An underlying common requirement is …

With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …

Twitter has become an increasingly important source of information, with more than 400
million tweets posted per day. The task to link the named entity mentions detected from …

Entity linking (EL) is the process of linking entity mentions appearing in web text with their
corresponding entities in a knowledge base. EL plays an important role in the fields of …

We study the task of entity linking for tweets, which tries to associate each mention in a tweet
with a knowledge base entry. Two main challenges of this task are the dearth of information …