PROCESS FOR IDENTIFYING COMPLETION OF DOMAIN ADAPTATION DICTIONARY ACTIVITIES

• US 20180196795A1
• Filed: 01/06/2017
• Published: 07/12/2018
• Est. Priority Date: 01/06/2017
• Status: Active Grant

• Current Assignee: Callaway Cars, Inc., International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Beller, Charles E., Chase, Paul J., Darden, Richard, Drzewucki, Michael, Katz, Edward G., Phipps, Christopher
• Granted Patent: US 10,303,763 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 40/242 Dictionaries
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

An apparatus comprising a memory and a processor configured for semi-autonomous natural language processing domain adaptation related activities. The processor coupled to the memory and configured to identify a corpus of documents of an evaluation domain and generate a first lexicon based on the corpus of documents of the evaluation domain, and determine a threshold that indicates a sufficiency of domain adaptation of the evaluation domain based at least in part on the first lexicon. The processor is further configured to identify a corpus of documents of a client domain, generate a second lexicon based on the corpus of documents of the client domain, determine a metric associated with the corpus of documents of the client domain and the second lexicon, and determine that domain adaptation of the client domain is complete when the metric exceeds the threshold.

Claims

1. An apparatus comprising:

a memory; and

a processor coupled to the memory and configured to;

identify a corpus of documents of an evaluation domain;

generate a first lexicon based on the corpus of documents of the evaluation domain;

determine a threshold that indicates a sufficiency of domain adaptation of the evaluation domain based at least in part on the first lexicon;

identify a corpus of documents of a client domain;

generate a second lexicon based on the corpus of documents of the client domain;

determine a metric associated with the corpus of documents of the client domain and the second lexicon; and

determine that domain adaptation of the client domain is complete when the metric exceeds the threshold.

2. The apparatus of claim 1, wherein the processor is further configured to extract a first plurality of domain terms from the corpus of documents of the evaluation domain to generate the first lexicon.

3. The apparatus of claim 2, wherein the processor is further configured to determine the threshold that indicates the sufficiency of domain adaptation of the evaluation domain according to a comparison of a quantity of domain terms in a third lexicon to a quantity of the domain terms in the first lexicon.

4. The apparatus of claim 3, wherein the processor is further configured to determine the threshold that indicates the sufficiency of domain adaptation according to

5. The apparatus of claim 1, wherein the processor is further configured to determine the metric associated with the corpus of documents of the client domain and the second lexicon according to

6. The apparatus of claim 1, wherein the processor is further configured to:

divide the corpus of documents of the client domain into a plurality of ordered sub-corpora; and

generate a plurality of lexicon each corresponding uniquely to one of the plurality of ordered sub-corpora.

7. The apparatus of claim 1, wherein before identifying the corpus of documents of the evaluation domain, the processor is further configured to:

receive a first question for processing according to natural language processing; and

perform first natural language processing to determine a first answer to the first question, wherein after determining that domain adaptation of the client domain is complete, the processor is further configured to;

receive a second question for processing according to natural language processing; and

perform second natural language processing to determine a second answer to the second question based at least in part on the second lexicon, and wherein the second answer has a greater degree of accuracy with respect to the second question than a degree of accuracy of the first answer with respect to the first question.

8. A computer-implemented method comprising:

identifying, by a processor, a corpus of documents from within a domain;

determining, by the processor, an evaluation question for use with a question answering system to determine an answer to the evaluation question based on content of the domain;

partitioning the corpus of documents into a plurality of sub-corpora;

generating a lexicon for each of the respective sub-corpora;

generating a plurality of test systems each corresponding uniquely to one of the plurality of sub-corpora;

evaluating the evaluation question using the plurality of test systems to determine a plurality of evaluation results each corresponding uniquely to one of the plurality of test systems; and

determining a threshold for sufficiency of domain adaptation based on at least one of the evaluation results.

9. The computer-implemented method of claim 8, wherein generating the plurality of test systems each corresponding uniquely to one of the plurality of sub-corpora comprises combining one or more lexicons of each of the respective sub-corpora to generate the plurality of test systems.

10. The computer-implemented method of claim 8, wherein evaluating the evaluation question using the test systems to determine the plurality of evaluation results each corresponding uniquely to one of the plurality of test systems comprises determining that a first evaluation result of the plurality of evaluation results corresponding to a first test system of the plurality of test systems is greater than or equal to a second evaluation result of the plurality of evaluation results that corresponds to a second test system of the plurality of test systems.

11. The computer-implemented method of claim 10, wherein determining the threshold for sufficiency of domain adaptation based on at least one of the evaluation results comprises determining a ratio of domain terms associated with the first evaluation result and the first test system which are not associated with a third evaluation result of a third test system that is prior to the first test system to a total number of the domain terms associated with the first evaluation result and the first test system.

12. The computer-implemented method of claim 11, wherein the threshold for sufficiency of domain adaptation is determined according to

13. The computer-implemented method of claim 12, wherein the lexicon containing the domain terms associated with the first evaluation result and the first test system contains domain terms associated with one or more tests systems prior to the first test system in the plurality of test systems.

14. The computer-implemented method of claim 8, wherein before identifying, by the processor, the corpus of documents from within the domain, the method further comprises:

receiving a first question for processing, by the processor, according to natural language processing; and

performing, by the processor, first natural language processing to determine a first answer to the first question, wherein after determining the threshold for sufficiency of domain adaptation based on the at least one of the evaluation results, the method further comprises;

performing, by the processor, domain adaptation of a client domain to determine a second lexicon of the client domain;

receiving, by the processor, a second question for processing according to natural language processing; and

performing, by the processor, second natural language processing to determine a second answer to the second question based at least in part on the second lexicon, and wherein the second answer has a greater degree of accuracy with respect to the second question than a degree of accuracy of the first answer with respect to the first question.

15. A computer program product for performing domain adaptation of a domain, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

identify a corpus of documents from within a client domain;

divide the corpus of documents into a plurality of sub-corpora;

extract at least one domain term from each of the plurality of sub-corpora, wherein domain terms extracted from one of the plurality of sub-corpora form a lexicon for that respective sub-corpora of the plurality of sub-corpora;

determine a metric having a relationship to the lexicon for that respective sub-corpora of the plurality of sub-corpora; and

determine, based at least in part on the metric, that sufficient domain adaptation of the client domain has been performed.

16. The computer program product of claim 15, wherein the metric is determined according to

17. The computer program product of claim 16, wherein sufficient domain adaptation of the client domain has been performed when the metric is less than a predetermined threshold indicative of sufficiency of domain adaptation.

18. The computer program product of claim 17, wherein the predetermined threshold is determined at least in part according to a test system evaluating an evaluation domain against at least one evaluation question to determine the threshold indicative of sufficiency of domain adaptation.

19. The computer program product of claim 18, wherein the corpus of documents is expanded when the metric is greater than the predetermined threshold indicative of sufficiency of domain adaptation.

20. The computer program product of claim 15 implemented as a service in a cloud computing environment.