17957006. NATURAL LANGUAGE QUERY PROCESSING BASED ON MACHINE LEARNING TO PERFORM A TASK simplified abstract (International Business Machines Corporation)

NATURAL LANGUAGE QUERY PROCESSING BASED ON MACHINE LEARNING TO PERFORM A TASK

Organization Name

International Business Machines Corporation

Inventor(s)

Bryson Chisholm of Stevensville (CA)

Shikhar Kwatra of San Jose CA (US)

Shaikh Shahriar Quader of Oshawa (CA)

Ayesha Bhangu of Whitby (CA)

Jack Zhang of Unionville (CA)

Shabana Dhayananth of Brampton (CA)

Tarandeep kaur Randhawa of Stratford (CA)

NATURAL LANGUAGE QUERY PROCESSING BASED ON MACHINE LEARNING TO PERFORM A TASK - A simplified explanation of the abstract

This abstract first appeared for US patent application 17957006 titled 'NATURAL LANGUAGE QUERY PROCESSING BASED ON MACHINE LEARNING TO PERFORM A TASK

Simplified Explanation

The present invention involves processing natural language queries to perform tasks using data from multiple sources.

• Machine learning model determines task from natural language query
• Query generated to retrieve data from different sources
• Data retrieved and task performed using that data

Potential Applications

This technology could be applied in various fields such as:

• Customer service
• Data analysis
• Information retrieval

Problems Solved

This technology helps in:

• Improving efficiency in task performance
• Enhancing accuracy in data retrieval
• Simplifying natural language query processing

Benefits

The benefits of this technology include:

• Streamlining task execution
• Enhancing user experience
• Increasing productivity

Potential Commercial Applications

This technology could be commercially applied in industries such as:

• E-commerce
• Healthcare
• Finance

Possible Prior Art

One possible prior art for this technology could be the use of machine learning models for natural language processing in various applications.

What are the specific machine learning algorithms used in this technology?

The specific machine learning algorithms used in this technology are not mentioned in the abstract.

How does this technology handle privacy and security concerns related to data retrieval from multiple sources?

The abstract does not provide information on how this technology handles privacy and security concerns related to data retrieval from multiple sources.

Original Abstract Submitted

An embodiment of the present invention extracts information from a natural language query requesting performance of a task. A machine learning model determines a task that corresponds to the task requested by the natural language query based on the extracted information. A query is generated for retrieving data from a plurality of different data sources based on the extracted information. The data for the determined task is retrieved from the plurality of different data sources based on the generated query. The determined task is performed using the retrieved data. Present invention embodiments include a method, system, and computer program product for processing a natural language query in substantially the same manner described above.