TABLE NARRATION USING NARRATION TEMPLATES

• US 20150331846A1
• Filed: 08/25/2014
• Published: 11/19/2015
• Est. Priority Date: 05/13/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Guggilla, Chinnappa, Mungi, Ashish, Narayanan, Purushothaman K., Parikh, Ankur S., Singla, Krishma, Thomas, Bijo A.
• Granted Patent: US 10,318,626 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9017 using directory or table look-up use of a directory or look-up table in file systems G06F16/13
• CPC Class Codes: G06F 40/18 of spreadsheets form-filling G06F40/174
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/221 Parsing markup language streams streaming G06F40/149
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30

Abstract

A method for narrating a table using at least one narration template, wherein the table is extracted from a data source is provided. The method may include parsing the extracted table. The method may also include performing structural analysis on the parsed extracted table. The method may further include selecting at least one structural template based on the structural analysis of the parsed extracted table. Additionally, the method may include selecting the at least one narration template based on the at least one selected structural template. The method may also include applying the at least one selected narration template to the extracted table. The method may further include narrating the extracted table based on the applying of the at least one selected narration template to the extracted table.

Claims

1. A method for narrating a table using at least one narration template, wherein the table is extracted from a data source, the method comprising:

parsing the extracted table;

performing structural analysis on the parsed extracted table;

selecting at least one structural template based on the structural analysis of the parsed extracted table;

selecting the at least one narration template based on the at least one selected structural template;

applying the at least one selected narration template to the extracted table; and

narrating the extracted table based on the applying of the at least one selected narration template to the extracted table.

2. The method of claim 1, wherein the at least one selected structural template comprises at least one key element of the table structure that is necessary to determine the at least one selected narration template.

3. The method of claim 1, wherein the at least one selected narration template is based on a mapping of the at least one selected structural template to the at least one selected narration template.

4. The method of claim 1, wherein the at least one selected structural template is based on a mapping of the at least one selected narration template to the at least one selected structural template.

5. The method of claim 1, wherein the at least one selected narration template comprises at least one key element for defining the at least one selected narration template.

6. The method of claim 5, wherein the at least one key element comprises at least one of an natural language processing (NLP) element and a narration formula.

7. The method of claim 3, wherein the mapping is based on at least one key element required to map the least one selected structural template to the at least one selected narration template.

8. The method of claim 4, wherein the mapping is based on at least one key element required to map the at least one selected narration template to the at least one selected structural template.