METHODS AND SYSTEMS FOR IMPROVING MACHINE LEARNING PERFORMANCE
First Claim
1. A method for conducting natural language processing, the method comprising:
- generating a natural language model by a natural language platform;
storing the natural language model in a first stateless format;
accessing a plurality of documents to be classified by the natural language model;
storing the plurality of documents in a second stateless format; and
classifying, by the natural language platform, at least one document among the plurality of documents while the at least one document is stored in the second stateless format using the natural language model while stored in the first stateless format.
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Abstract
Systems and methods are presented for providing improved machine performance in natural language processing. In some example embodiments, an API module is presented that is configured to drive processing of a system architecture for natural language processing. Aspects of the present disclosure allow for a natural language model to classify documents while other documents are being retrieved in real time. The natural language model and the documents are configured to be stored in a stateless format, which also allows for additional functions to be performed on the documents while the natural language model is used to continue classifying other documents.
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Citations
20 Claims
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1. A method for conducting natural language processing, the method comprising:
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generating a natural language model by a natural language platform; storing the natural language model in a first stateless format; accessing a plurality of documents to be classified by the natural language model; storing the plurality of documents in a second stateless format; and classifying, by the natural language platform, at least one document among the plurality of documents while the at least one document is stored in the second stateless format using the natural language model while stored in the first stateless format. - View Dependent Claims (2, 3, 4, 5, 6, 7, 20)
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8. A natural language processing system comprising:
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a plurality of server machines communicatively coupled in parallel, each of the plurality of servers comprising a memory and at least one processor, each of the plurality of servers configured to; store, in said memory of said server, a replica of a natural language model in a first stateless format; access a plurality of documents to be classified by said replica of the natural language model; store the plurality of documents in a second stateless format; and classify at least one document among the plurality of documents while the at least one document is stored in the second stateless format using said replica of the natural language model while stored in the first stateless format. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A non-transitory computer readable medium comprising instructions that, when executed by a process, cause the processor to perform operations comprising:
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generating a natural language model; storing the natural language model in a first stateless format; accessing a plurality of documents to be classified by the natural language model; storing the plurality of documents in a second stateless format; and classifying at least one document among the plurality of documents while the at least one document is stored in the second stateless format using the natural language model while stored in the first stateless format. - View Dependent Claims (15, 16, 17, 18, 19)
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Specification