Confidence links between name entities in disparate documents
AssigneeRamp Holdings, Inc.
InventorsAlex Baron, Marjorie Ruth Freedman, Ralph M. Weischedel, Elizabeth Megan Boschee
Life of this patent
Estimating the term…
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AssigneeRamp Holdings, Inc.
InventorsAlex Baron, Marjorie Ruth Freedman, Ralph M. Weischedel, Elizabeth Megan Boschee
Estimating the term…
The invention relates to cross-document entity co-reference systems in which naturally occurring entity mentions in a document corpus are analyzed and transformed into name clusters that represent global entities. In a first aspect of the invention, a name variation module analyzes naturally occurring names of entities extracted from the document corpus and provides an initial set of equivalent names that could refer to the same real world entity. In a second aspect of the invention, a disambiguation module takes the initial set of equivalent names and uses an agglomerative clustering algorithm to disambiguate the potentially co-referent named entities.
A system that detects similarities between name strings in a document set, comprising:
Dependencies are inferred from the claim text.