TEXTUAL AMBIGUITY RESOLVER

• US 20140136184A1
• Filed: 11/13/2012
• Published: 05/15/2014
• Est. Priority Date: 11/13/2012
• Status: Abandoned Application

• Current Assignee: Treato Ltd.
• Original Assignee: Treato Ltd.
• Inventors: RABKIN, Tsvi, PALEI, Michael, SA'ADON, Roee Robert, HATSEK, Avner, ALBILIA, Eyal, EPSTEIN, Limor
• Application Number:
  US13/675,024
• Publication Number:
  US 20140136184A1
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 40/295 Named entity recognition

Abstract

A textual ambiguity resolver system for disambiguating textual elements in information transferred over a communications network comprising a database; and a disambiguation processor adapted to perform a parsing operation on the transferred information, including an ambiguous mapping extractor module to identify at least one ambiguous textual element in the transferred information and to map said ambiguous textual element to at least one interpretation candidate in an ontology, a lexical resolver module to determine a relationship between said ambiguous textual element and an idiom phrase, a named-entity resolver module to determine a relationship between said ambiguous textual element and a named-entity element, a syntactic resolver module to determine a relationship between said ambiguous textual element and a syntactic compound, and a classification resolver module to determine a relationship between said ambiguous textual element and a linguistic pattern.

Claims

1. A textual ambiguity resolver system for disambiguating textual elements in information transferred over a communications network comprising:

a. a database; and

b. a disambiguation processor adapted to perform a parsing operation on the transferred information, comprising;

an ambiguous mapping extractor module to identify at least one ambiguous textual element in the transferred information and to map said ambiguous textual element to at least one interpretation candidate in an ontology;

a lexical resolver module to determine a relationship between said ambiguous textual element and an idiom phrase;

a named-entity resolver module to determine a relationship between said ambiguous textual element and a named-entity element;

a syntactic resolver module to determine a relationship between said ambiguous textual element and a syntactic compound; and

a classification resolver module to determine a relationship between said ambiguous textual element and a linguistic pattern.

2. A textual ambiguity resolver system according to claim 1, said disambiguation processor further comprising:

a contextual resolver module to determine a relationship between said ambiguous textual element and an interpretation candidate based on a context of the transferred information.

3. A textual ambiguity resolver system according to claim 1, said disambiguation processor further comprises:

a default resolver module to determine a correct interpretation candidate for said ambiguous textual element based on a default mapping to said ontology.

4. A textual ambiguity resolver system according to claim 1 wherein said database comprises an ontology database.

5. A textual ambiguity resolver system according to claim 1 wherein said database comprises a descriptor database.

6. A textual ambiguity resolver system according to claim 1 wherein said database comprises an idiom dictionary database.

7. A textual ambiguity resolver system according to claim 1 wherein said ontology comprises at least one domain-specific ontology.

8. A textual ambiguity resolver system according to claim 7 wherein said at least one domain-specific ontology is a medical ontology.

9. A method of disambiguating textual elements in information transferred over a communications network comprising:

identifying at least one ambiguous textual element in the transferred information and mapping said ambiguous textual element to at least one interpretation candidate in an ontology;

determining a relationship between said ambiguous textual element and an idiom phrase;

determining a relationship between said ambiguous textual element and a named-entity element;

determining a relationship between said ambiguous textual element and a syntactic compound; and

determining a relationship between said ambiguous textual element and a linguistic pattern.

10. A method according to claim 9 further comprising determining a relationship between said ambiguous textual element and an interpretation candidate based on a context of the transferred information.

11. A method according to claim 9 further comprising determining a correct interpretation candidate for said ambiguous textual element based on default mapping to said ontology.

12. A method according to claim 9 comprising searching in an idiom dictionary for an idiom phrase.

13. A method according to claim 12 comprising disambiguating said ambiguous textual element based on positively associating said ambiguous textual element with an idiom phrase in said idiom dictionary.

14. A method according to claim 9 comprising searching in a descriptor database for a descriptor associated with said ambiguous textual element.

15. A method according to claim 12 comprising disambiguating said ambiguous textual element based on positively associating said ambiguous textual element with descriptor in said descriptor database.

16. A method of disambiguating an ambiguous textual element using syntactic resolving comprising:

identifying a syntactic compound descriptor associated with the ambiguous textual element;

locating said descriptor in a descriptor database; and

searching in an ontology for an interpretation candidate for the ambiguous textual element based on an association of said descriptor with a concept in said ontology.

17. A method of disambiguating an ambiguous textual element using classification resolving comprising:

identifying a linguistic pattern in text associated with the ambiguous textual element;

assigning a classification to the textual element based on said linguistic pattern;

searching in an ontology for an interpretation candidate for the textual element based on an association of said classification with a concept in said ontology.

18. A method of disambiguating an ambiguous textual element using contextual resolving comprising:

collecting candidate contexts from text associated with the ambiguous textual element;

determining a non-ambiguity in concepts related to said candidate contexts; and

retrieving from an ontology induced contexts associated with said non-ambiguous concepts.

19. A method according to claim 18 further comprising:

determining a relevancy of said induced contexts;

assigning a score associated with a confidence level of said relevancy to said relevant contexts; and

selecting the relevant context with the highest score to disambiguate the ambiguous textual element.

20. A method according to claim 18 wherein an induced context retrieved from said ontology is associated with more than one non-ambiguous concept.

21. A method according to claim 19 wherein a score of said induced context is a summation of assigned scores associated with said more than one non-ambiguous concept.

22. A disambiguation processor to disambiguate textual elements in information transferred over a communication, comprising:

an ambiguous mapping extractor module to identify at least one ambiguous textual element in the transferred information and to map said ambiguous textual element to at least one interpretation candidate in an ontology;

a lexical resolver module to determine a relationship between said ambiguous textual element and an idiom phrase;

a named-entity resolver module to determine a relationship between said ambiguous textual element and a named-entity element;

a syntactic resolver module to determine a relationship between said ambiguous textual element and a syntactic compound; and

a classification resolver module to determine a relationship between said ambiguous textual element and a linguistic pattern.

23. A disambiguation processor according to claim 22, said disambiguation processor further comprising:

a contextual resolver module to determine a relationship between said ambiguous textual element and an interpretation candidate based on a context of the transferred information.

24. A disambiguation processor according to claim 22, said disambiguation processor further comprising:

vii. a default resolver module to determine a correct interpretation candidate for said ambiguous textual element based on a default mapping to said ontology.

25. A disambiguation processor according to claim 22 wherein said ontology comprises at least one domain-specific ontology.

26. A disambiguation processor according to claim 22 wherein said at least one domain-specific ontology is a medical ontology.