Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are
well covered in literature. Typical fields addressing these topics are information retrieval …

Named entity extraction and disambiguation have received much attention in recent years.
Typical fields addressing these topics are information retrieval, natural language processing …

Named entity extraction and disambiguation have received much attention in recent years.
Typical fields addressing these topics are information retrieval, natural language processing …

Named entity extraction (NEE) and disambiguation (NED) have received much attention in
recent years. Typical fields addressing these topics are information retrieval, natural …

Abstract Named Entity Extraction is a mature task in the NLP field that has yielded numerous
services gaining popularity in the Semantic Web community for extracting knowledge from …

Disambiguating named entities in natural language texts maps ambiguous names to
canonical entities registered in a knowledge base such as DBpedia, Freebase, or YAGO …

Extracting named entities text forms the basis for many crucial tasks such as information
retrieval and extraction, machine translation, opinion mining, sentiment analysis and …

Named entity recognition and disambiguation are of primary importance for extracting
information and for populating knowledge bases. Detecting and classifying named entities …

Social media content represents a large portion of all textual content appearing on the
Internet. These streams of user generated content (UGC) provide an opportunity and …

Abstract Named Entity Disambiguation (NED) algorithms disambiguate mentions of named
entities with respect to a knowledge-base, but sometimes the context might be poor or …