Information extraction and annotation systems and methods for documents

Patent metadata

Field	Value
Publication number	US-10102193-B2
Application number	US-201414452484-A
Country	US
Kind code	B2
Filing date	Aug 5, 2014
Priority date	Jul 22, 2013
Publication date	Oct 16, 2018
Grant date	Oct 16, 2018

Abstract

Information extraction and annotation systems and methods for use in annotating and determining annotation instances are provided herein. Exemplary methods include receiving annotated documents, the annotated documents comprising annotated fields, analyzing the annotated documents to determine contextual information for each of the annotated fields, determining discriminative sequences using the contextual information, generating a proposed rule or a feature set using the discriminative sequences and annotated fields, and providing the proposed rule or the feature set to a document annotator.

First claim

What is claimed is:

1. A method, comprising:
receiving, by a context analysis module, annotated documents, the annotated documents comprising annotated fields;
analyzing, by the context analysis module, the annotated documents to determine contextual information for each of the annotated fields;
determining discriminative sequences using the contextual information by:
determining, by a contiguity heuristics module, longest contiguous common subsequences between aligned pairs of strings of the annotated documents;
determining, by the contiguity heuristics module, a frequency of occurrence of similar longest contiguous common subsequences; and
wherein the contiguity heuristics module generates a proposed rule from longest contiguous common subsequences having a desired frequency of occurrence;

providing, by the context analysis module, the proposed rule to a document annotator; and
applying, by a rule-based annotator, a rule-based extractor to a target document to create an annotated document, the rule-based extractor being generated from the proposed rule.

2. The method of claim 1 , wherein discriminative sequences are identified within the annotated documents and used to develop both rule-based extractors and feature-based extractors.

3. The method of claim 1 , wherein sequence alignment is utilized to identify discriminative sequences in the context of a specified field.

4. The method of claim 1 , wherein annotation of a document may include associating a word, date, or other group of characters with a particular field.

5. The method of claim 1 , further comprising:
executing, by the context analysis module, a base annotation of original documents to create documents with base annotations, the base annotations comprising basic categories of words or groups of characters; and
providing the documents with base annotations to the document annotator via a user interface.

6. The method of claim 5 , further comprising highlighting each of the base annotations within the user interface.

7. The method of claim 1 , further comprising receiving feedback from the document annotator; and using the feedback to any of approve the proposed rule, modify the proposed rule, and reject the proposed rule.

8. The method of claim 1 , further comprising converting, by a rule-based extractor generator, the proposed rule into the rule-based extractor.

9. The method of claim 1 , wherein determining longest contiguous common subsequences comprises:
aligning pairs of strings having possible contextual matches;
normalizing the pairs of strings by extracting matching segments having a given length; and
aggregating the normalized pairs of strings.

10. The method of claim 9 , further comprising applying a greedy contiguity heuristic to the aggregated normalized pairs of strings.

11. The method of claim 10 , wherein the greedy contiguity heuristic evaluates any of a number of matching segments, a number of gaps between segments, and variances between segment lengths.

12. A system, comprising:
a processor; and
logic encoded in one or more tangible media for execution by the processor, the logic when executed by the processor causing the system to perform operations comprising:
receiving annotated documents comprising annotated fields;
analyzing the annotated documents to determine contextual information for each of the annotated fields;

determining discriminative sequences using the contextual information by:
determining, by a contiguity heuristics module, longest contiguous common subsequences between aligned pairs of strings of the annotated documents;
determining, by the contiguity heuristics module, a frequency of occurrence of similar longest contiguous common subsequences, wherein the contiguity heuristics module generates a proposed rule from longest contiguous common subsequences having a desired frequency of occurrence, wherein the proposed rule is generated using the discriminative sequences, the annotated fields and a feature set; and
providing the proposed rule or the feature set to a document annotator; and wherein a rule-based annotator applies a rule-based extractor to a target document to create an annotated document, the rule-based extractor being generated from the proposed rule.

13. The system of claim 12 , wherein the discriminative sequences are identified within the annotated documents and used to develop both rule-based extractors and feature-based extractors.

14. The system of claim 12 , wherein the processor further executes the logic to perform operations of:
executing a base annotation of original documents to create documents with base annotations, the base annotations comprising basic categories of words or groups of characters; and
providing the documents with base annotations to the document annotator via a user interface.

15. The system of claim 14 , wherein the processor further executes the logic to perform operations of highlighting each of the base annotations within the user interface.

16. The system of claim 12 , wherein the processor further executes the logic to perform operations of receiving feedback from a document annotator; and using the feedback to any of approve the proposed rule, modify the proposed rule, and reject the proposed rule.

17. The system of claim 12 , further comprising a rule-based extractor generator that converts the proposed rule into the rule-based extractor.

18. The system according to claim 17 , further comprising the rule-based annotator that applies the rule-based extractor to a target document to create an annotated document.

19. A method, comprising:
receiving, by a context analysis module, annotated documents, the annotated documents comprising annotated fields;
analyzing, by the context analysis module, the annotated documents to determine contextual information for each of the annotated fields;
determining discriminative sequences using the contextual information by:
determining, by a contiguity heuristics module, longest contiguous common subsequences between aligned pairs of strings of the annotated documents; and
determining, by the contiguity heuristics module, a frequency of occurrence of similar longest contiguous common subsequences, wherein the contiguity heuristics module generates a proposed rule from longest contiguous common subsequences having a desired frequency of occurrence;

generating, by the context analysis module, a feature set using the discriminative sequences and the annotated fields;
providing, by the context analysis module, the feature set to a document annotator; and
applying, by a feature-based annotator, a feature-based extractor to a target document to create an annotated document, the feature-based extractor being generated from the feature set.

Assignees

• Recommind Inc
• Open Text Holdings Inc

Inventors

• Riediger Julian Markus
• Horng Andy

Classifications

• G06F40/169 Primary

  Annotation, e.g. comment data or footnotes · CPC title

• G06F16/00

  Information retrieval; Database structures therefor; File system structures therefor · CPC title

• G06F17/00

  Digital computing or data processing equipment or methods, specially adapted for specific functions (information retrieval, database structures or file system structures therefor G06F16/00) · CPC title

• G06F17/30

  Physics · mapped topic

• G06F17/241 Primary

  Physics · mapped topic