The Entity Linking (EL) task involves linking mentions of entities in a text with their identifier in a Knowledge Base (KB) such as Wikipedia, BabelNet, DBpedia, Freebase, Wikidata, YAGO, etc. Numerous techniques have been ...

The Entity Linking (EL) task is concerned with linking entity mentions in a text collection with their corresponding knowledgebase entries. The majority of approaches have focused on EL over English text collections. ...

Some decades have passed since the concept of “named entity” was used for the first time. Since then, new lines of research have emerged in this environment, such as linking the (named) entity mentions in a text collection ...

The Entity Linking (EL) task identifies entity mentions in a text corpus and associates them with corresponding entities in a given knowledge base. While traditional EL approaches have largely focused on English texts, ...

The Entity Linking (EL) task involves linking mentions of entities in a text with their corresponding identifier in a Knowledge Base (KB) such as Wikipedia, BabelNet, DBpedia, Freebase, Wikidata, YAGO, etc. Numerous ...

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 areas can be seen from two overlapping perspectives: ...

Information Extraction (IE) is a natural language processing (NLP) task whose aim is to analyze texts written in natural language to extract structured and useful information such as named entities and semantic relations ...