公开(公告)号：US09697475B1

公开(公告)日：2017-07-04

申请号：US14138606

申请日：2013-12-23

Applicant: GOOGLE INC.

Inventor： Amarnag Subramanya ,  Michael Ringgaard ,  Fernando Carlos das Neves Pereira

IPC: G06N99/00

CPC classification number: G06N99/005 ,  G06N7/005

Abstract: Systems and methods are disclosed for using an additive context model for entity disambiguation. An example method may include receiving a span of text from a document and a phrase vector for the span. The phrase vector may have a quantity of features and represent a context for the span. The method also includes determining a quantity of candidate entities from a knowledge base that have been referred to by the span. For each of the quantity of candidate entities, the method may include determining a support score for the candidate entity for each feature in the phrase vector, combining the support scores additively, and computing a probability that the span resolves to the candidate entity given the context. The method may also include resolving the span to a candidate entity with a highest probability.