Robust Disambiguation of Named Entities in Text

Disambiguating named entities in natural-language text maps mentions\nof ambiguous names onto canonical entities like people or places,\nregistered in a knowledge base such as DBpedia or YAGO. This paper\npresents a robust method for collective disambiguation, by\nharnessing context from knowledge bases and using a new form of\ncoherence graph. It unifies prior approaches into a comprehensive\nframework that combines three measures: the prior probability of an\nentity being mentioned, the similarity between the contexts of a\nmention and a candidate entity, as well as the coherence among\ncandidate entities for all mentions together. The method builds a\nweighted graph of mentions and candidate entities, and…