17957006. NATURAL LANGUAGE QUERY PROCESSING BASED ON MACHINE LEARNING TO PERFORM A TASK simplified abstract (International Business Machines Corporation)
Contents
- 1 NATURAL LANGUAGE QUERY PROCESSING BASED ON MACHINE LEARNING TO PERFORM A TASK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 NATURAL LANGUAGE QUERY PROCESSING BASED ON MACHINE LEARNING TO PERFORM A TASK - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
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)
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.
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.
- International Business Machines Corporation
- 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)
- G06N20/00
- G06F16/33