International business machines corporation (20240111969). NATURAL LANGUAGE DATA GENERATION USING AUTOMATED KNOWLEDGE DISTILLATION TECHNIQUES simplified abstract
Contents
- 1 NATURAL LANGUAGE DATA GENERATION USING AUTOMATED KNOWLEDGE DISTILLATION TECHNIQUES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 NATURAL LANGUAGE DATA GENERATION USING AUTOMATED KNOWLEDGE DISTILLATION TECHNIQUES - 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 DATA GENERATION USING AUTOMATED KNOWLEDGE DISTILLATION TECHNIQUES
Organization Name
international business machines corporation
Inventor(s)
Michael Robert Glass of New York NY (US)
Gaetano Rossiello of New York NY (US)
Md Faisal Mahbub Chowdhury of New York NY (US)
Alfio Massimiliano Gliozzo of New York NY (US)
NATURAL LANGUAGE DATA GENERATION USING AUTOMATED KNOWLEDGE DISTILLATION TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111969 titled 'NATURAL LANGUAGE DATA GENERATION USING AUTOMATED KNOWLEDGE DISTILLATION TECHNIQUES
Simplified Explanation
The abstract describes methods, systems, and computer program products for natural language data generation using automated knowledge distillation techniques. Here is a simplified explanation of the patent application:
- Retrieving passages from a knowledge base based on an input query using artificial intelligence techniques.
- Ranking the retrieved passages using another set of artificial intelligence techniques.
- Generating natural language answers by distilling knowledge from the ranked passages.
- Performing automated actions based on the rankings and generated answers.
Potential Applications
This technology can be applied in various fields such as customer service chatbots, virtual assistants, and information retrieval systems.
Problems Solved
This technology helps in efficiently generating natural language answers from knowledge bases, improving the accuracy and speed of information retrieval.
Benefits
The benefits of this technology include faster response times, improved accuracy in answering queries, and enhanced user experience in interacting with AI systems.
Potential Commercial Applications
Potential commercial applications of this technology include customer support automation, knowledge management systems, and educational platforms.
Possible Prior Art
One possible prior art for this technology could be the use of natural language processing techniques in information retrieval systems.
Unanswered Questions
How does this technology handle ambiguous queries?
The article does not provide information on how the system deals with ambiguous queries that may have multiple interpretations.
What is the scalability of this system for large knowledge bases?
The scalability of the system for handling large knowledge bases is not addressed in the article.
Original Abstract Submitted
methods, systems, and computer program products for natural language data generation using automated knowledge distillation techniques are provided herein. a computer-implemented method includes retrieving, in response to an input query, a set of passages from at least one knowledge base by processing the input query using a first set of artificial intelligence techniques; ranking at least a portion of the set of passages by processing the set of passages using a second set of artificial intelligence techniques; generating at least one natural language answer, in response to the input query, by processing a subset of the set of passages in connection with automated knowledge distillation techniques based on the ranking of the at least a portion of the set of passages; and performing automated actions based on the ranking of the at least a portion of the set of passages and/or the at least one generated natural language answer.
