CODEWITHSUNDEEP
nlpnamed-entity-recognitioninformation-extraction
FrankL
FrankL

Reputation: 39

Difference between NER, NERC and NEL

What is the difference between named entity recognition, named entity recognition and classification, named entity linking? Would appreciate a practical example.

Upvotes: 1

Views: 2553

Answers (2)

Yasen
Yasen

Reputation: 1683

Former president Clinton visits the White House.

Usually when people say NER now, they mean NERC. Also it is really task-specific, the White House may be a location, links can come from a semantic knowledge base, etc.

Upvotes: 3

ozborn
ozborn

Reputation: 1070

Named entity recognition is a sub-field in information extraction and refers to finding some predefined entity in text, like Person, Organization, Gene, etc... It came out of MUC-6, the Sixth Message Understanding Conference and has been around for decades.

Take the sentence "Google reported 17 billion dollars in profit in 2014, and its revenue continues to grow." An example of output using a NER tool to find Organizations would be the character offsets 0 and 6 - indicating that an Organization has been identified in that location in text. Named entity linking would establish a link between the text "Google" and a link to the Google (the company) webpage on wikipedia which is traditionally used for linking.

Classification in the NLP context usually refers to document classification and has nothing to do with Information Extraction like your other cases. One area would be sentiment analysis, which declares documents as positive, negative or neutral. My example sentence with Google might be declared neutral in this context.

Upvotes: 0

Related Questions