Suggesting relevant terms during text entry

• US 9,886,427 B2
• Filed: 10/31/2011
• Issued: 02/06/2018
• Est. Priority Date: 11/01/2010
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Lee, Michael Chun-Chieh, Cohen-Solal, Eric, Qian, Yuechen
• Primary Examiner(s): Baderman, Scott
• Assistant Examiner(s): EDWARDS, JASON T
• Application Number:
  US13/882,219
• Publication Number:
  US 20130212475A1
• Time in Patent Office: 2,290 Days
• Field of Search: 715261, 715224
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates

Abstract

A system for suggesting autocompletion terms during text entry of a report. A text entry unit (2) for enabling a user to enter a text into a current report (1). A term selector (11) for selecting at least one frequently co-occurring term (12), based on an extracted term (8), the extracted term section (9), the current section (10), and a co-occurrence statistic (7). An indicator (13) provides an indication of the at least one frequently co-occurring term (12) to the user. A system for analyzing reports comprises a co-occurrence statistics generator (26) for generating a plurality of co-occurrence statistics, a co-occurrence statistic being indicative of a first term, a first section, a second term, a second section, and a frequency in which reports contain the first term in the first section in combination with the second term in the second section.

Claims

1. A system for suggesting autocompletion terms during text entry of a report, comprising

a word processor configured for:

enabling a user to enter a text into a current report;

determining a plurality of sections of the current report;

one or more computer processors configured for;

detecting sections of the plurality of sections of the current report which the user is working on, thus obtaining a current section;

extracting a term occurring in the current report, thus obtaining an extracted term,

identifying sections of the plurality of sections of the current report in which the extracted term occurs, thus obtaining an extracted term section, wherein the extracted term section and the current section are different sections;

accessing a plurality of co-occurrence statistics, a co-occurrence statistic being indicative of at least one first term, at least one first section which contains the first term, a second term, a second section which contains the second term, and a frequency in which reports in a knowledge domain contain the at least one first term in the at least one first section in combination with the second term in the second section, wherein the at least one first section is different from the second section;

selecting at least one frequently co-occurring term, based on the extracted term, the extracted term section which contains the extracted term, the current section, and the co-occurrence statistics, wherein the at least one frequently co-occurring term is selected for a portion of a term entered in the current section based on at least one of the co-occurrence statistics associated with the extracted term in the extracted term section;

the word processor further being configured for providing an indication of the at least one frequently co-occuring term to the user.

2. The system according to claim 1, wherein a report comprises a document and wherein a section comprises a section heading and a section body.

3. The system according to claim 1, wherein the report comprises a plurality of files, and wherein different files comprise different sections of the report.

4. The system according o claim 1, wherein the extracted term and/or the first term comprise an expression comprising a plurality of words.

5. The system according to claim 1, wherein the one or more computer processors are further configured for:

associating the extracted term and/or the at least one first term with at least one respective ontological concept in an ontology, and wherein the co-occurrence statistic relates to the probability of the co-occurrence of the at least one ontological concept with the second term.

6. The system according to claim 1, wherein the one or more computer processors are further configured for:

receiving a portion of the term occurring in the report, and selecting the frequently co-occurring term, based on the received portion of the term.

7. The system according to claim 6, wherein the one or more computer processors are further configured for:

selecting at least one frequently co-occurring term of which the beginning matches the received portion of the term.

8. The system according to claim 1, wherein the reports include medical patient reports and the sections include a patient history section, a clinical findings section, and/or a diagnosis section.

9. A workstation comprising the system according to claim 1.

10. A system for analyzing reports, comprising:

a means for enabling a user to input content into a current medical patient report;

one or more processors configured to;

determine a division of a plurality of medical patient reports into sections,

determine a plurality of common sections of the plurality of the medical patient reports including a patient history section, a clinical finding section, and a diagnosis section common to the plurality of the medical patient reports,

extract a plurality of terms from the common sections of the plurality of the medical patient reports, and associate each term with the section and report in which it occurs,

generate a plurality of co-occurrence statistics, the co-occurrence statistic being indicative of at least one first term, at least one first section of the plurality of sections, a second term, a second section of the plurality of sections, and a frequency in which the medical patient reports contain the at least one first term in the at least one first section in combination with the second term in the second section, wherein the at least one first section is different from the second section,

select suggested autocompletion terms based on the generated plurality of co-occurrence statistics and the input content into the current medical patient report; and

a display configured to display the current medical patient report and the suggested autocompletion terms for the current medical patient report.

11. The system according to claim 10, wherein the input content includes text.

12. A method of suggesting autocompletion terms during text entry of a report, comprising:

enabling a user to enter a text into a current report;

determining a plurality of sections of the current report;

detecting a section of the current report which the user is working on, thus obtaining a current section;

extracting a term occurring in the current report, thus obtaining an extracted term, and identifying a section of the current report in which the extracted term occurs, thus obtaining an extracted term section, wherein the extracted term section and the current section are different sections;

accessing a plurality of co-occurrence statistics, a co-occurrence statistic being indicative of at least one first term, at least one first section, a second term, a second section, and a frequency in which reports in a knowledge domain contain the at least one first term in the at least one first section in combination with the second term in the second section wherein the at least one first section is different from the second section;

selecting at least one frequently co-occurring term, based on the extracted term, the extracted term section, the current section, and at least one of the co-occurrence statistics, wherein the selection of the at least one frequently co-occurring term for a portion of a term entered in the current section is based on at least one of the co-occurrence statistics associated with the extracted term in the extracted term section; and

providing an indication of the at least one frequently co-occurring term to the user.

13. A non-transitory computer-readable medium carrying instructions for causing a processor system to perform the method according to claim 12.

14. A system for suggesting autocompletion terms during text entry of a report, comprising:

a text entry device configured to enable a user to enter text into a current report;

one or more processors configured to;

determine a plurality of sections of the current report,

detect a section of the current report which the user is working on, thus detecting a current section,

extract a term occurring in the current report, thus extracting an extracted term,

identify a section of the current report in which the extracted term occurs, thus identifying an extracted terns section, wherein the extracted term section and the current section are different sections,

access a plurality of co-occurrence statistics, the co-occurrence statistics being indicative of at least one first. term, at least one first section, a second term, a second section, and a frequency in which prior reports contain the at least one first term in the at least one first section in combination with the second term in the second section, wherein the at least one first section is different from the second section,

select at least one frequently co-occurring term, based on the extracted term, the extracted term section, the current section, and at least one of the co-occurrence statistics, wherein the at least one frequently co-occurring term for a portion of a term entered in the current section is selected based on at least one of the co-occurrence statistics associated with the extracted term in the extracted term section; and

a display device configured to display an indication of the at least. one frequently co-occurring term to the user.

15. The system according to claim 14, wherein the report comprises a document and wherein the sections comprise section headings and section bodies.

16. The system according to claim 14, wherein the report comprises a plurality of files, and wherein different files comprise different sections of the report.

17. The system according to claim 14, wherein the extracted term and/or the first term comprise an expression comprising a plurality of words.

18. The system according to claim 14, wherein the one or more processors are further configured to:

associate the extracted term and/or the at least one first term with at least one respective ontological concept in an ontology, and wherein the co-occurrence statistics relate to a probability of a co-occurrence of the at least one ontological concept with the second term.

19. The system according to claim 14, wherein the one or more processors are further configured to:

receive a portion of a term which is entered by the user;

select the frequently co-occurring term, based on the received portion of the term; and

select at least one frequently co-occurring term of which the beginning matches the received portion of the term.

20. The system according to claim 14, wherein the reports include medical patient reports and the sections include a patient history section, a clinical findings section, and/or a diagnosis section.