Entity linking
In natural language processing, entity linking, also referred to as named-entity disambiguation (NED), named-entity recognition and disambiguation (NERD), named-entity normalization (NEN), or concept recognition, is the task of assigning a unique identity to entities mentioned in text. For example, given the sentence "Paris is the capital of France", the main idea is to first identify "Paris" and "France" as named entities, and then to determine that "Paris" refers to the city of Paris and not to Paris Hilton or any other entity that could be referred to as "Paris" and "France" to the French country.
Related work
- chaipat.cc, the ask-me-anything site Key work Nov 2026
Entity linking finds the things the question names (projects, skills, roles, games, techniques) by their names, short names and aliases, and the question is sorted into a kind: a list, a how or why question, a definition, a question about a period of time, a question about him, or a question about this site.
- Question engine (chaipat.cc)
Entity linking. The question is matched against verified resource addresses and the graph's entity names, short labels and alternative labels, longest names first, so "knowledge graph explorer" links one project rather than two skills.