Patent Document ID: 20180121413
Application ID: 15336999
Patent Flag: 0

Claim One:
1. A method for entity extraction within an electronic document, wherein an entity may be a proper noun; the method comprising: executing by a computer processor a conditional random field algorithm stored on a computer readable medium to generate a conditional random field model; the conditional random field algorithm having an input including one or more training text documents; executing by a computer processor an entity extraction algorithm stored on a computer readable medium to generate an entity extraction model; the entity extraction algorithm having an input including the same one or more training text documents input into the conditional random field algorithm; applying by a computer processor the conditional random field model to at least one electronic document; wherein application of the conditional random field model returns a list of passages in the at least one electronic document having an entity; applying by a computer processor the entity extraction model to at least one electronic document; wherein application of the entity extraction model returns a list of entities; storing the list of entities on a compute readable medium; wherein the conditional random field model is generated by deconstructing by a computer processor training electronic texts stored on a computer readable into complete sentences and tokens used by the text in each sentence, along with the sequence of sentences; and identifying entities based on either their context within sentences or the tokens used by text in the sentences.