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 …

An enormous amount of digital information is expressed as natural-language (NL) text that is
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …

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 …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Entity Linking (EL) is the task of linking name mentions in Web text with their referent entities
in a knowledge base. Traditional EL methods usually link name mentions in a document by …

In this paper we give an overview of the Knowledge Base Population (KBP) track at TAC
2011. The main goal of KBP is to promote research in discovering facts about entities and …

Given a query consisting of a mention (name string) and a background document, entity
disambiguation calls for linking the mention to an entity from reference knowledge base like …

Named Entity Linking (nel) grounds entity mentions to their corresponding node in a
Knowledge Base (kb). Recently, a number of systems have been proposed for linking entity …

In this paper, we introduce an enhanced form of random testing called Adaptive Random
Testing. Adaptive random testing seeks to distribute test cases more evenly within the input …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …