18140873. METHOD AND SYSTEM FOR DISPLAYING A RESPONSE TO A NATURAL LANGUAGE QUERY simplified abstract (JPMorgan Chase Bank, N.A.)
Contents
METHOD AND SYSTEM FOR DISPLAYING A RESPONSE TO A NATURAL LANGUAGE QUERY
Organization Name
Inventor(s)
Sachin Kumar of Bangalore (IN)
METHOD AND SYSTEM FOR DISPLAYING A RESPONSE TO A NATURAL LANGUAGE QUERY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18140873 titled 'METHOD AND SYSTEM FOR DISPLAYING A RESPONSE TO A NATURAL LANGUAGE QUERY
The abstract of the patent application describes a method and system for displaying a response to natural language queries. The method involves receiving a natural language query, analyzing it to identify intent and entities, composing a database-specific query, executing the query to retrieve a response from a database, and displaying the response.
- The method involves analyzing natural language queries to identify intent and entities.
- It composes a database-specific query based on the identified intent and entities.
- The system executes the query to retrieve a response from a database.
- The response is then displayed via a display to the user.
Potential Applications: - This technology can be used in customer service chatbots to provide accurate responses to user queries. - It can be implemented in search engines to improve the relevance of search results based on natural language queries.
Problems Solved: - This technology addresses the challenge of accurately interpreting and responding to natural language queries. - It streamlines the process of retrieving relevant information from databases based on user queries.
Benefits: - Improved user experience by providing accurate and relevant responses to natural language queries. - Increased efficiency in retrieving information from databases based on user intent.
Commercial Applications: - Customer service chatbots - Search engines - Information retrieval systems
Questions about the technology: 1. How does this technology improve the accuracy of responses to natural language queries? 2. What are the potential limitations of this technology in handling complex queries?
Original Abstract Submitted
A method and a system for displaying a response to at least one natural language query are disclosed. The method includes receiving the at least one natural language query. The method further includes analyzing, using a trained model, the at least one natural language query to identify an intent and entities associated with the at least one natural language query. The method further includes composing a database-specific query using the identified intent and entities associated with the at least one natural language query. The method includes executing the database-specific query to retrieve the response to the at least one natural language query from at least one database. The method further includes displaying, via a display, the response that is retrieved from the at least one database.
