Creation of normalized summaries using common domain models for input text analysis and output text generation

• US 20050138556A1
• Filed: 12/18/2003
• Published: 06/23/2005
• Est. Priority Date: 12/18/2003
• Status: Abandoned Application

• Current Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Hagege, Caroline, Chanod, Jean-Pierre, Brun, Caroline
• Application Number:
  US10/737,976
• Publication Number:
  US 20050138556A1
• Time in Patent Office: Days
• US Class Current: 715/264
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 40/247 Thesauruses; Synonyms

Abstract

Normalized output texts, such as rundowns or summaries, from raw texts belonging to a given domain are produced. The normalized output text may be generated in different languages and may take into account a user'"'"'s interest. To this end, linguistic resources associated with a model of the domain are used both for input text analysis and output text generation.

Claims

1. A method for generating a reduced body of text from an input text, the method comprising:

establishing a domain model of said input text;

associating at least one linguistic resource with said domain model;

analyzing said input text on the basis of the at least one linguistic resource; and

based on a result of the analysis of said input text, generating said body of text on the basis of said at least one linguistic resource.

2. The method of claim 1, wherein said body of text is generated in a language other than a language in which said input text is provided.

3. The method of claim 1, wherein said body of text comprises a first sub-body generated in a first language and a second sub-body generated in a second language other than the first language.

4. The method of claim 1, wherein establishing said domain model comprises defining a plurality of concepts and defining one or more relations for at least one of said concepts.

5. The method of claim 4, further comprising:

defining at least one informative structure representing said one or more relations as an linguistic resource;

wherein said at least one informative structure is defined in accordance with a user'"'"'s interest.

6. The method of claim 4, further comprising selecting one or more informative structures from said at least one informative structure with user input so as to specify information of interest.

7. The method of claim 4, further comprising identifying an equivalence between a first lexical or syntactic structure and a second lexical or syntactic structure, when the first and second lexical or syntactic structures are associated with the same relation of said one or more relations.

8. The method of claim 7, further comprising establishing a representation of said identified equivalence as an element of said at least one linguistic resource.

9. The method of claim 4, further comprising:

defining, by a specified formalism, informative structures representing said one or more relations;

defining, by said specified formalism, structural equivalences associated with said domain model;

parsing said input text by said specified formalism;

normalizing the parses of said input text by said specified formalism according to said defined structural equivalences; and

instantiating one or more of said informative structures by said specified formalism.

10. The method of claim 1, wherein said at least one linguistic resource includes at least one of:

one or more lexicons, one or more thesauri, one or more terminological resources and one or more entity recognizers to identify at least one basic concept of said domain model.

11. The method of claim 1, wherein analyzing said input text comprises:

recognizing a basic concept in said domain model;

extracting a syntactic relation involving said basic concept; and

normalizing said extracted syntactic relation on the basis of lexical and structural equivalences associated with said domain model.

12. The method of claim 1, wherein generating said body of text further comprises receiving an informative structure representing one or more of said relations and being instantiated during the analysis of said input text and generating said body of text on the basis of said domain model and said instantiated informative structure.

13. The method of claim 12, further comprising retrieving a textual element from said input text, wherein said textual element is associated with an instantiated informative structure.

14. The method of claim 13, wherein said textual element is not selected as an argument of said instantiated informative structure.

15. The method of claim 13, wherein said textual element represents one of a clause, a modifier and a neighboring sentence.

16. The method of claim 13, further comprising selecting one or more textual elements outside of said informative structure as contextual elements for an informative structure and generating said body of text on the basis of said selected contextual elements.

17. The method of claim 16, further comprising generating a second body of text for said contextual elements with a text generator based on a model other than said domain model.

18. The method of claim 17, wherein said body of text and said second body of text are provided in a language other than said input text.

19. The method of claim 1, further comprising editing said body of text upon request.

20. A system for generating a reduced body of text, comprising:

a storage element containing data representing a model of a specified domain and representing linguistic resources associated with the domain;

an input text analyzer operatively connected with the storage element and configured to receive an input text and provide normalized informative structures representative of at least a portion of the input text on the basis of the linguistic resources and the domain model; and

an output text generator configured to receive normalized informative structures from the input text analyzer, the output text generator being further configured to provide a reduced body of output text on the basis of the informative structures and the linguistic resources.

21. The system of claim 20, wherein said output text generator comprises a high-level interactive document authoring system.

22. The system of claim 21, wherein said output text generator comprises a text authoring system configured to generate a multilingual output text.

23. An article of manufacture for use in a machine comprising:

a) a memory;

b) instructions stored in the memory for generating a reduced body of text from an input text, the method comprising;

establishing a domain model of said input text;

associating at least one linguistic resource with said domain model;

analyzing said input text on the basis of the at least one linguistic resource; and

based on a result of the analysis of said input text, generating said body of text on the basis of said at least one linguistic resource.