In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

In this paper we propose a novel entity annotator for texts which hinges on TagME's
algorithmic technology, currently the best one available. The novelty is twofold: from the one …

The DBpedia-entity collection has been used as a standard test collection for entity search in
recent years. We develop and release a new version of this test collection, DBpedia-Entity …

Due to large number of entities in biomedical knowledge bases, only a small fraction of
entities have corresponding labelled training data. This necessitates entity linking models …

Software engineering social content, such as Q&A discussions on Stack Overflow, has
become a wealth of information on software engineering. This textual content is centered …

Entity linking (EL) is concerned with disambiguating entity mentions in a text against
knowledge bases (KB). It is crucial in a considerable number of fields like humanities …

The premise of entity retrieval is to better answer search queries by returning specific entities
instead of documents. Many queries mention particular entities; recognizing and linking …

The existence of unlinkable (NIL) entities is a major hurdle affecting the performance of
Named Entity Linking approaches, and, consequently, the performance of downstream …

Querying, conversing, and controlling search and information-seeking interfaces using
natural language are fast becoming ubiquitous with the rise and adoption of large-language …

Hashtags, originally introduced in Twitter, are now becoming the most used way to tag short
messages in social networks since this facilitates subsequent search, classification and …