System and method for generating and using user semantic dictionaries for natural language processing of user-provided text

• US 9,727,553 B2
• Filed: 03/20/2015
• Issued: 08/08/2017
• Est. Priority Date: 02/03/2015
• Status: Active Grant

• Current Assignee: ABBYY Development LLC
• Original Assignee: ABBYY Production LLC (ABBYY Software)
• Inventors: Yakovlev, Egor, Starostin, Anatoly
• Primary Examiner(s): He, Jialong
• Application Number:
  US14/663,960
• Publication Number:
  US 20160224541A1
• Time in Patent Office: 872 Days
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 40/242 Dictionaries
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

A method, system, and computer program product for generating and using a user semantic dictionary for natural language involving receiving a user dictionary element definition associated with a user ontological object; generating the user semantic dictionary based on the user dictionary element definition, analyzing by a hardware processor the user-provided text to identify a portion of the user-provided text matching the semantic-syntactic data; generating a node in a semantic-syntactic tree, and further natural language processing of the user-provided text using the generated semantic-syntactic tree. The semantic-syntactic tree includes connected nodes, including references to the user ontological object or a reference to the first semantic dictionary structure. The generated user semantic dictionary includes a semantic dictionary structure with semantic-syntactic data and an identifier of the user ontological object.

Claims

1. A method comprising:

identifying, by a hardware processor, a first text provided by a user;

identifying, by the hardware processor, a semantic dictionary comprising semantic-syntactic data, the semantic-syntactic data comprising at least one datum specific to the user;

identifying, by the hardware processor, a first portion of the first text that matches the semantic-syntactic data;

generating a node for a semantic-syntactic tree, wherein the node identifies a user ontological object of the semantic-syntactic data corresponding to the first portion of the first text;

storing, by the hardware device, the semantic-syntactic tree comprising the generated node in a data storage device; and

performing, by the hardware processor using the stored semantic-syntactic tree, natural language processing of at least one of the first text, the first portion of the first text, a second portion of the first text, or a second text provided by the user.

2. The method of claim 1, wherein the semantic-syntactic data comprises a semantic class.

3. The method of claim 1, wherein the semantic-syntactic data comprises an instance of a semantic class.

4. The method of claim 1, wherein the semantic-syntactic data comprises a lexical class.

5. The method of claim 1, wherein the semantic-syntactic data comprises an instance of a lexical class.

6. The method of claim 1, wherein the first text comprises natural language.

7. A system comprising:

a memory to store a first text provided by a user; and

a hardware processor, operatively coupled to the memory, to;

identify a semantic dictionary comprising semantic-syntactic data, the semantic-syntactic data comprising at least one datum specific to the user;

identify a first portion of the first text that matches the semantic-syntactic data;

generate a node for a semantic-syntactic tree, wherein the node identifies a user ontological object of the semantic-syntactic data corresponding to the first portion of the first text;

store the semantic-syntactic tree comprising the generated node in a data storage device; and

perform, using the stored semantic-syntactic tree, natural language processing of at least one of the first text, the first portion of the first text, a second portion of the first text, or a second text provided by the user.

8. The system of claim 7, wherein the semantic-syntactic data comprises a semantic class.

9. The system of claim 7, wherein the semantic-syntactic data comprises an instance of a semantic class.

10. The system of claim 7, wherein the semantic-syntactic data comprises a lexical class.

11. The system of claim 7, wherein the semantic-syntactic data comprises an instance of a lexical class.

12. The system of claim 7, wherein the first text comprises natural language.

13. A non-transitory computer-readable storage medium, having instructions stored therein, which when executed, cause a hardware processor to:

identify a first text provided by a user;

identify a semantic dictionary comprising semantic-syntactic data, the semantic-syntactic data comprising at least one datum specific to the user;

identify a first portion of the first text that matches the semantic-syntactic data;

generate a node for a semantic-syntactic tree, wherein the node identifies a user ontological object of the semantic-syntactic data corresponding to the first portion of the first text; and

store the semantic-syntactic tree comprising the generated node in a data storage device; and

perform, using the stored semantic-syntactic tree, natural language processing of at least one of the first text, the first portion of the first text, a second portion of the first text, or a second text provided by the user.

14. The non-transitory computer-readable storage medium of claim 13, wherein the semantic-syntactic data comprises a semantic class.

15. The non-transitory computer-readable storage medium of claim 13, wherein the semantic-syntactic data comprises an instance of a semantic class.

16. The non-transitory computer-readable storage medium of claim 13, wherein the semantic-syntactic data comprises a lexical class.

17. The non-transitory computer-readable storage medium of claim 13, wherein the semantic-syntactic data comprises an instance of a lexical class.

18. The non-transitory computer-readable storage medium of claim 13, wherein the first text comprises natural language.