Systems and methods for filtering dictated and non-dictated sections of documents

Abstract

A system and method for filtering documents to determine section boundaries between dictated and non-dictated text. The system and method identifies portions of a text report that correspond to an original dictation and, correspondingly, those portions that are not part of the original dictation. The system and method include comparing tokenized and normalized forms of the original dictation and the final report, determining mismatches between the two forms, and applying machine-learning techniques to identify document headers, footers, page turns, macros, and lists automatically and accurately.

1 - 13 . (canceled) 
     
     
         14 . A method for filtering dictated and non-dictated sections of documents, the method comprising:
 gathering a first set of documents having dictated and non-dictated section boundaries;   featurizing text in at least one document from the first set of documents;   differentiating dictated and non-dictated sections of text in the at least one document from the first set of documents;   categorizing text of a second set of documents to identify dictated and non-dictated sections of text within at least one document from the second set of documents; and   outputting dictated sections of the at least one document from the second set of documents to an automatic speech recognition process.   
     
     
         15 . The method according to  claim 14 , wherein the gathering further comprises pre-processing text in the first set of documents. 
     
     
         16 . The method according to  claim 15 , further comprising interpreting featurization rules. 
     
     
         17 . The method according to  claim 16 , further comprising generating featurized data. 
     
     
         18 . The method according to  claim 16 , wherein the differentiating further comprises creating classification models in order to distinguish between dictated and non-dictated sections of text in the at least one document from the first set of documents. 
     
     
         19 . The method according to  claim 18 , wherein the categorizing is performed based on the classification models. 
     
     
         20 . The method according to  claim 19 , wherein the first set of documents does not equal the second set of documents. 
     
     
         21 - 33 . (canceled) 
     
     
         34 . A system for filtering dictated and non-dictated sections of documents, the system comprising:
 a central processing unit; and   a computer code operatively associated with the central processing unit, the computer code including instructions to cause the central processing unit to:
 gather a first set of documents having dictated and non-dictated section boundaries; 
 featurize text in at least one document from the first set of documents; 
 differentiate dictated and non-dictated sections of text in the at least one document from the first set of documents; 
 categorize text of a second set of documents to identify dictated and non-dictated sections of text within at least one document from the second set of documents; and 
 output dictated sections of the at least one document from the second set of documents to an automatic speech recognition process. 
   
     
     
         35 . The system according to  claim 34 , wherein the instructions further cause the central processing unit to pre-process text in the first set of documents. 
     
     
         36 . The system according to  claim 35 , wherein the instructions further cause the central processing unit to interpret featurization rules. 
     
     
         37 . The system according to  claim 36 , wherein the instructions further cause the central processing unit to generate featurized data. 
     
     
         38 . The system according to  claim 36 , wherein the instructions further cause the central processing unit to create classification models in order to distinguish between dictated and non-dictated sections of text in the at least one document from the first set of documents. 
     
     
         39 . The system according to  claim 38 , wherein the instructions cause the central processing unit to categorize the text of the second set of documents based on the classification models. 
     
     
         40 . The system according to  claim 39 , wherein the first set of documents does not equal the second set of documents.